894 Repositories
Python deep-learning Libraries
The purpose of this repository is to show how you can use an Azure tool to create Machine Learning models.
Machine Learning with Azure Introducción. Si buscas automatizar algún proceso o predecir algún dato obtenido de un conjunto de datos mediante el apren
A self driving car is designed and developed which uses various techniques to find its desired path.
Autonomous_Car_using_Image_Processing_and_ML The code helps the Car to Drive, Avoid Obsticals, Detect Traffic signs and Park in its desired path Code
Source code of KDD'22 paper: Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting
Quatformer (KDD 2022 paper) Weiqi Chen, Wenwei Wang, Bingqing Peng, Qingsong Wen, Tian Zhou, Liang Sun, "Learning to Rotate: Quaternion Transformer fo
A traffic Analytics system using Deep Learning (Desktop Version)
TerrificEye: An Edge Computing System For Traffic Analytics From Videos Requirements Python 3 tensorflow DarkNet (Yolov4) NVIDIA SoC board (e.g. Jetso
Advance Face Recognition Student Attendance System Project in Python OpenCV With Tkinter GUI & Mysql Database
A social media app built with Kotlin (Android Studio) with multiple features 👉 If you like this repo, give it a star ✨ and share 👨🏻💻 it to your f
A Machine Learning Application to search players using the player's reference image and get the player Stats data from the Premier League
Premier-League-Face-Recognition-API An unofficial API client to search players using the player reference image and get the player Stats data from the
semantically search Bible verses using NLP: https://bible-verse-search.streamlitapp.com/
Bible Verse Search App try the app here The Holy Bible has 31,102 verses. It is difficult to remember the references of many verses, this app solves i
This repository contains all the code used for the experiments of the paper Symmetry-based regularization in deep breast cancer screening (under review)
Symmetry-based Regularization in Deep Breast Cancer Screening This repository contains all the code used for the experiments of the paper Symmetry-bas
It is a deep learning project that can classify 25 different marbles. It is integrated into the mobile application. The article and the data set, which includes the steps from start to finish, are shared as open source, including the codes.
Marble-Classification-Using-Deep-Learning- 📌 It is a deep learning project that can classify 25 different marble types. It is integrated into the mob
Data-mining framework for compiling a machine learning dataset.
About AlphaMine was created in October 2022 as a submission for HackGT 9. It won 1st place for the Cheat Code Hacks category. As part of the hackathon
Source code for "Pathway-informed deep learning model for survival analysis and pathological classification of gliomas"
PiDeeL About The Project The source code of the pre-print: Pathway-informed deep learning model for survival analysis and pathological classification
Multiple Instance Learning (MIL) wrapper for timm models
What is Multiple Instance Learning (MIL)? Multiple Instance Learning is a type of weakly supervised learning algorithm where training data is arranged
Train very large language models in Jax.
JaxSeq Overview Built on top of HuggingFace's Transformers library, JaxSeq enables training very large language models in Jax. Currently it supports G
Code for "Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance"
CycleDiffusion: Text-to-Image Diffusion Models Are Image-to-Image Editors via Inferring "Random Seed" Official PyTorch implementation of (Sections 4.1
Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".
MaPLe: Multi-modal Prompt Learning MaPLe: Multi-modal Prompt Learning Muhammad Uzair Khattak, Hanoona Rasheed, Muhammad Maaz, Salman Khan, Fahad Shahb
[NeurIPS 2022] PerfectDou: Dominating DouDizhu with Perfect Information Distillation
![[NeurIPS 2022] PerfectDou: Dominating DouDizhu with Perfect Information Distillation](https://github.com/Netease-Games-AI-Lab-Guangzhou/PerfectDou/raw/main/images/result.jpg)
[NeurIPS 2022] PerfectDou: Dominating DouDizhu with Perfect Information Distillation The official repo for the NeurIPS 2022 paper PerfectDou: Dominat
Code for the paper "Binding Language Models in Symbolic Languages"
Binder 🔗 : Binding Language Models in Symbolic Languages Code for paper Binding Language Models in Symbolic Languages. Please refer to our project pa
[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
![[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs](https://github.com/LFhase/CIGA/raw/main/data/arch.png)
Causality Inspired Invariant Graph LeArning (CIGA) This repo contains the sample code for reproducing the results of NeurIPS 2022 paper: Learning Caus
Official repository for "CLIP model is an Efficient Continual Learner".
Continual-CLIP: CLIP is an Efficient Continual Learner CLIP is an Efficient Continual Learner by Vishal Thengane, Salman Khan, Munawar Hayat, Fahad Kh
🔥OGC in PyTorch (NeurIPS 2022)
OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds (NeurIPS 2022) Ziyang Song, Bo Yang Overview We propose the first unsuper
Code for "Visual Reinforcement Learning with Self-Supervised 3D Representations"
Visual Reinforcement Learning with Self-Supervised 3D Representations Original PyTorch implementation of RL3D from Visual Reinforcement Learning with
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners Paper Link : https://arxiv.org/abs/2210.02969 Overview of FL
EMNLP'2022: BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation
Metric Fairness: Is BERTScore Fair? This repository contains the code, data, and pre-trained checkpoints for our EMNLP paper BERTScore is Unfair: On S
Official repository for the paper "Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules"
Fast Weight Painters (FPAs) This is the official repository containing code for the paper: Images as Weight Matrices: Sequential Image Generation Thro
Code for our Findings of EMNLP-2022 paper: "Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA"
VQA-VS (Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA) Here is the data and implementation of our Findings of EMNL
[NeurIPS 2022] DRAGON 🐲: Deep Bidirectional Language-Knowledge Graph Pretraining
![[NeurIPS 2022] DRAGON 🐲: Deep Bidirectional Language-Knowledge Graph Pretraining](https://github.com/michiyasunaga/dragon/raw/main/figs/dragon.png)
DRAGON: Deep Bidirectional Language-Knowledge Graph Pretraining This repo provides the source code & data of our paper "DRAGON: Deep Bidirectional Lan
Code for our Findings of EMNLP-2022 paper: "Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning"
MMBS (Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning) Here is the implementation of our Findings
Fast Pythonic data structures and tools for wrangling with medical images.
Voxel Documentation | Voxel Basics Tutorial Voxel provides fast Pythonic data structures and tools for wrangling with medical images. Installation Vox
In Defense of the Unitary Scalarization for Deep Multi-Task Learning
In Defense of the Unitary Scalarization for Deep Multi-Task Learning With In Defense of the Unitary Scalarization for Deep Multi-Task Learning, we sho
Official implementation of "Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models" [Preprint]
Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models This is the official implementation of the RMwGGIS method proposed in the
An efficient binary serialization format for numerical data.
NumBin An efficient binary serialization format for numerical data. Install pip install numbin Usage from numbin import NumBin import numpy as np nb
Official implementation of "An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition", BMVC 2022
An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition Kiyoon Kim, Davide Moltisanti, Oisin Mac Aodha, Laura Sevilla-Lara In BMVC
[SIGGRAPH Aisa 2022 Conference Paper] Shape Completion with Points in the Shadow
![[SIGGRAPH Aisa 2022 Conference Paper] Shape Completion with Points in the Shadow](https://github.com/zhangbowen-wx/Shape-Completion-with-Points-in-the-Shadow/raw/main/fig/overview.png)
Shape Completion with Points in the Shadow Bowen Zhang, Xi Zhao, He Wang, Ruizhen Hu This repository contains the source code for the paper Shape Comp
Extract new words out of your text files and create anki flash cards out of them.
Ankinator A Python script that you can run on your text files to extract new words from it and create anki flashcards out of them. Preview Preview.mp4
[ICDM'22] PyTorch implementation for "Privacy-Preserved Neural Graph Similarity Learning".
![[ICDM'22] PyTorch implementation for](https://github.com/RUCAIBox/PPGM/raw/main/asset/pic.png)
PPGM This is the official PyTorch implementation for the paper: Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen. Privacy-Preserved Neural Graph Si
[WACV 2023] A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation
A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation This repository contains the official PyTorch implementation of t
The official PyTorch implementation of our paper (Simple and Efficient: A Semisupervised Learning Framework for Remote Sensing Image Semantic Segmentation)
LSST This is the official PyTorch implementation of our paper: [Simple and Efficient: A Semisupervised Learning Framework for Remote Sensing Image Sem
This repository contains a Machine Learning project which is based on Audio Processing.
ML_Audio_processing: This repository contains a Machine Learning project which is based on Audio Processing. Building machine learning models to class
Simple doc_string eraser for ONNX.
sde4onnx Simple Doc_string Eraser for ONNX. https://github.com/PINTO0309/simple-onnx-processing-tools Key concept doc_string eraser for ONNX. e.g. Hag
This repository contains an Image detection app which is based on Machine Learning.
ML_Image_App: This repository contains an Image detection app which is based on Machine Learning. What Is an Image? Before we jump into image processi
TensorFlow 2.X reimplementation of CvT: Introducing Convolutions to Vision Transformers, Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, Lei Zhang.
CvT-TensorFlow TensorFlow 2.X reimplementation of CvT: Introducing Convolutions to Vision Transformers, Haiping Wu, Bin Xiao, Noel Codella, Mengchen L
EvenStack is a toolkit for data science, statistics, and math
EvenStack is a toolkit for data science, statistics, and math. Why EvenStack appeared First of all, EvenStack will remain an experimental work until t
Visual Assistant is an interface which will give the scene understanding to its users by using machine learning and image processing algorithms on live video.
Visual-Assistant Visual Assistant is an interface which will give the scene understanding to its users by using machine learning and image processing
Official implementation of "OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions"
OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions This repository is the official implementation of "OPERA: Omni-Supervise
In-Hand Object Rotation via Rapid Motor Adaptation (CoRL 2022)
In-Hand Object Rotation via Rapid Motor Adaptation This repository contains a reference PyTorch implementation of the paper: In-Hand Object Rotation v
『EMNLP 2022 Findings』 SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction
SMiLE Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction Official code repository 📑 for EMNLP 2022 Findings paper
[EMNLP 2022] Continual Training of Language Models for Few-Shot Learning
![[EMNLP 2022] Continual Training of Language Models for Few-Shot Learning](https://github.com/UIC-Liu-Lab/CPT/raw/main/figures/model.png)
Continual Training of Language Models for Few-Shot Learning This repository contains the code and pre-trained models for our EMNLP'22 paper Continual
Official code for "A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning"
GPL This is the code for our paper "A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning". Inside you will find all
Official Code Repository for the paper "Graph Self-supervised Learning with Accurate Discrepancy Learning" (NeurIPS 2022)
Graph Self-supervised Learning with Accurate Discrepancy Learning Official Code Repository for the paper "Graph Self-supervised Learning with Accurate
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022]
MUAD: Multiple Uncertainties for Autonomous Driving Dataset This repository contains some development kits (in PyTorch) that we used for our BMVC 2022
The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22) This is the official PyTorch Implementation of "NOTE: Robust Co
This is the official code for NeurIPS 2022 paper "Rank Diminishing in Deep Neural Networks".
Rank Diminishing in Deep Neural Networks This is the official code for NeurIPS 2022 paper "Rank Diminishing in Deep Neural Networks". We perform a rig
A Machine Learning Model that determines the state of the human eye based on 14 EEG signals given as input.
EEG Eye State Classification The classifier takes 14 ElectroEncephalogram measurements as input and predicts whether the eye of the person is open or
Input a YouTube video link and get a video with subtitles.
Auto-Subtitled-Video-Generator About this project This project is an automatic speech recognition application that takes a YouTube video link as input
Energy Consumption-Aware Tabular Benchmark For Neural Architecture Search
EC-NAS-Bench Abstract The demand for large-scale computational resources for Neural Architecture Search (NAS) has been lessened by tabular benchmarks
Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG This repository contains code and data accompanyi
Split a single, monolithic mp3 audiobook file into chapters using Machine Learning and ffmpeg.
Chapterize-Audiobooks Split a single, monolithic mp3 audiobook file into chapters using Machine Learning and ffmpeg. About This is a simple command li
An Pytorch implementation of Deep Convolutional Generative Adversarial Networks which is a stabilize Generative Adversarial Networks.
DCGAN in Pytorch An Pytorch implementation of Deep Convolutional Generative Adversarial Networks which is a stabilize Generative Adversarial Networks.
In this project, we present a artificial intelligent system that performs automatic online exam proctoring without the help of any human proctoring.
Online-Proctoring-System In this project, we present a artificial intelligent system that performs automatic online exam proctoring without the help o
Investment Research for Everyone, Anywhere.
OpenBB Terminal 🚀 Click on the GIF below for a DEMO of the terminal. Investment research for everyone. ≪ GETTING STARTED · CONTRIBUTING · SEE FEATURE
IDNNs is a python library that implements training and calculating of information in deep neural networks [Shwartz-Ziv & Tishby, 2017] in TensorFlow. The library allows you to investigate how networks look on the information plane and how it changes during the learning.
![IDNNs is a python library that implements training and calculating of information in deep neural networks [Shwartz-Ziv & Tishby, 2017] in TensorFlow. The library allows you to investigate how networks look on the information plane and how it changes during the learning.](https://github.com/ravidziv/IDNNs/raw/master/compare_percent_mnist_5_AND_85_PERCENT_old.JPG)
IDNNs Description IDNNs is a python library that implements training and calculating of information in deep neural networks [Shwartz-Ziv & Tishby, 201
Code for "DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning" (NeurIPS 2022)
DHRL This is a PyTorch implementation for our paper: "DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning" (N
MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions
MotionRNN (CVPR 2021) MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions Different from previous models that focus on tem
Code repository of paper 'Automated Stable Representation Learning with Implicit Feedback for Recommendation'
Automated Stable Representation Learning with Implicit Feedback for Recommendation Code repository of paper 'Automated Stable Representation Learning
To develop an application to translate English-based educational resources into vernacular languages (mother-tongues) using Natural Language Processing (NLP) for mass-effective learning.
Linguist - Team EnQ Linguist is a software that gives you freedom to summarize the text along with translation. It can translate in realtime from came
An unofficial API client to search players using the player's reference image and get the player Stats data from the Premier League
Premier-League-Face-Recognition-API An unofficial API client to search players using the player reference image and get the player Stats data from the
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
Welcome to Transformer Reinforcement Learning X (trlX) A repo for distributed training of language models with Reinforcement Learning via Human Feedba
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking Paper on arXiv Implementation of DiffDock, state-of-the-art method for molecular do
SpeechCLIP: Integrating Speech with Pre-Trained Vision and Language Model, Accepted to IEEE SLT 2022
SpeechCLIP arXiv link: https://arxiv.org/abs/2210.00705 Prequisite Install packages pip install -r requirements.txt Download Pretrained Checkpoints ba
This is a hacktoberfest repo with learning propose to make pull request(PR) and get contribute on opensource project.
This is a repo with learning propose to make pull request(PR) and get contribute on opensource project. Made specifically for HACKTOBERFEST 2022! Hack
Meta-learning with Self-Improving Momentum Target (NeurIPS 2022)
SiMT: Self-improving Momentum Target Official PyTorch implementation of "Meta-learning with Self-Improving Momentum Target" (NeurIPS 2022) by Jihoon T
Library to explain *a dataset* in natural language.
Library to explain a dataset in natural language. 📚 sklearn-friendly api • 📖 demo notebook Model Reference Description Emb-GAM 🗂️ , 🔗 , 📄 Fit bet
simplified version of cmake_example for pybind11 learning.
tiny_pybind_example Introduction The https://github.com/pybind/cmake_example is example of pybind11 with a CMake-based build system. tiny_pybind_examp
Complementary consistency semi-supervised learning for 3D left atrial image segmentation
Complementary consistency semi-supervised learning for 3D left atrial image segmentation by Hejun Huang, Zuguo Chen*, Chaoyang Chen, Ming Lu, Ying Zou
The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"
UGCL The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes" Overview Our implementation for UGC
SOTA Google's Perceiver-AR Music Transformer Implementations and Models
Perceiver Music Transformer SOTA Google's Perceiver-AR Music Transformer Implementations and Models Multi-Instrumental Version Solo Piano Version Usef
Machine Learning applications Feature Store implemented using hopeit.engine
feature-store Machine Learning applications Feature Store implemented using hopeit.engine for Machine Learning Engineers and Data Scientists: [OCTOBER
In this Repository you can contribute projects related to any technology e.g python,Js,Reactjs,andoid app,html/css , any interview materials , learning resources, etc. Every Pr will be checked carefully and will be accepted if it not falls under spam or copy. For Newbie They can also contribute to some pattern questions. Happy contributing!
🎃 🔥 HacktoberFest2022-Newbie ✔ In this Repository you can contribute projects related to any technology e.g python,R,Js,Reactjs,andoid app,html/css
Modern Python 101 - Thinking In Types
Modern Python 101 - Thinking With Types This is your guide to get started with Python Programming Language. This is a simple to understand and free gu
A modular RL library to fine-tune language models to human preferences
🤖 RL4LMs 🚀 A modular RL library to fine-tune language models to human preferences We provide easily customizable building blocks for training langua
Multi-Scale Patch-Based Representation Learning for Image Anomaly Detection and Segmentation
Multi-Scale Patch-Based Representation Learning for Image Anomaly Detection and Segmentation (paper link, published in WACV 2022) Authors - Chin-Chia
Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning Under the Phase-Dependent Amplitude Model
Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning Under the Phase-Dependent Amplitude Model PyTorch implementation o
2022 NASA SPACE APPS CHALLENGE Challenge: LEARNING THROUGH THE LOOKING GLASS Team: The Space Runner
Mind_Mirror-Bricks_Breaker Table of contents General info Technologies Setup General info 2022 NASA SPACE APPS CHALLENGE Challenge: LEARNING THROUGH T
Implementation for the paper 'Learning latent representations for operational nitrogen response rate prediction'
Learning-latent-representations-for-nitrogen-response-rate-prediction Appeared at AI for Earth and Space Science workshop, ICLR 2022. In this paper we
AI to Recognize someone's face from an image
face_recognition_cnn Description AI to recognize from face images. It is a convolutional neural network (CNN) based face recognition system. The proje
Tictactoe API versus Mozha (Agent) using Flask, MongoEngine, and PyTorch.
Mozha Tic-Tac-Toe API Mozha Tic-Tac-Toe API is an application programming interface (API) for playing Tic-Tac-Toe with Mozha (Agent). The algorithm is
code for our paper "Attention Distillation: self-supervised vision transformer students need more guidance" in BMVC 2022
Attention Distillation: self-supervised vision transformer students need more guidance (BMVC 2022) Kai Wang, Fei Yang and Joost van de Weijer Requirem
code for our BMVC 2022 paper "Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification"
Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification (BMVC 2022) Here we afford the cod
AI framework for Reinforcement Learning, Automated Planning and Scheduling
_ __ _ __ __ _ __ _____ _____ (_)/ /__ (_)/ /_ ____/ /___ _____ (_)____/ /___ / ___// ___// // //_//
A deep learning toolkit for automated anomaly detection
Deep-loglizer Deep-loglizer is a deep learning-based log analysis toolkit for automated anomaly detection. If you use deep-loglizer in your research f
EfficientNetV2 and EfficientNet-NS based PaDiM
PaDiM-EfficientNet_NS and PaDiM-EfficientNetV2 EfficentNet_NS outperforms both R18-Rd100 and WR50-Rd550 from original implementation on image-level RO
[NeurIPS 2022] The official implementation for "Learning to Discover and Detect Objects"
Learning to Discover and Detect Objects This repository provides the official implementation of the following paper: Learning to Discover and Detect O
The new type of activation function in the machine learning.
TIUD(Tuning Input Unit from Distribution) It is my personal old side project and i don't work with it anymore. It is about new type of activation func
# Learning Python - Config Python Environment and Examples
Learning Python Prepare pyenv PYTHON_VERSION="3.10.5" brew install pyenv pyenv install $PYTHON_VERSION pyenv global $PYTHON_VERSION Open your .zshrc
Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch
Make-A-Video - Pytorch (wip) Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch. They combine pseudo-3d convolu
A lightweight deep learning framework.🥷🏻
A Lightweight Deep Learning Library: IdealFlow IdealFlow is a lightweight deep learning framework used for personal learning (building wheels is impor
MM-ALT: A Multimodal Automatic Lyric Transcription System (ACM MM 2022)
MM-ALT: A Multimodal Automatic Lyric Transcription System This is the author's official PyTorch implementation for MM-ALT. This repo contains code for
Example of Simple Simple Q-Learning with Reinforcement Learning algorithm for ozone filter to decide on or off according to ozone level.
Filter-with-ReinforcementLearning Example of Simple Simple Q-Learning with Reinforcement Learning algorithm for ozone filter to decide on or off accor
Code for the Paper : Efficient block contrastive learning via parameter-free meta-node approximation
Proxy approximated meta-node Contrastive (PAMC) loss This repository contains a PyTorch implementation of "Efficient block contrastive learning via pa
A PyTorch re-implementation of ECCV 2020 paper "Foley Music: Learning to Generate Music from Videos "
Foley-Music-Reproduce A PyTorch Re-Implementation of ECCV 2020 paper "Foley Music: Learning to Generate Music from Videos " Foley Music: Learning to G