Python machine-learning Libraries
PaDiM-EfficientNet_NS and PaDiM-EfficientNetV2 EfficentNet_NS outperforms both R18-Rd100 and WR50-Rd550 from original implementation on image-level RO
Learning to Discover and Detect Objects This repository provides the official implementation of the following paper: Learning to Discover and Detect O
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 Prepare pyenv PYTHON_VERSION="3.10.5" brew install pyenv pyenv install $PYTHON_VERSION pyenv global $PYTHON_VERSION Open your .zshrc
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 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 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
This project designs a paradigm of dynamic partitioning system which uses reinforcement learning algorithm, PPO, to solve the dynamic workload problem in vertical partitioning field.
Self-Adapting Vertical Partitioning for Dynamic Workload This is the project code of dynamic partitioning algorithm PPO controller. The structure and
CRISPR-M CRISPR-M is a novel multi-view deep learning model with a new feature encoding scheme, regarding sgRNA off-target effect prediction for targe
prAIce framework lets you easily and quickly evaluate your ideas and build prototypes for forecasting stock prices. Installation pip install -i https:
AlphaOsu! Using advanced machine learning technology to help you farm PP in osu! . Link: https://alphaosu.keytoix.vip/ PR is welcome! Setup environmen
JetNet What models or features are you interested in seeing in JetNet? Let us know! JetNet is a collection of models, datasets, and tools that make it
🚕 Self-contained demo using Redpanda, Materialize, River, Redis, and Streamlit to predict taxi trip durations
Predicting (and learning) taxi trip durations in real-time This is a self-contained demo using Redpanda, Materialize, River, Redis, and Streamlit to p
Explainit What is Explainit? Explainit is a modern, enterprise-ready business intelligence web application that re-uses existing frameworks to manage
Scenario Gym - a lightweight framework for learning from scenario data Scenario Gym is a universal autonomous driving simulation tool that allows fast
SaDL_CD Here, we provide the pytorch implementation of the paper: Semantic-Aware Dense Representation Learning for Remote Sensing Image Change Detecti
L2P Pytorch Implementation This repository contains PyTorch implementation code for awesome continual learning method L2P, proposed in Wang, Zifeng, e
NeurOLight By Jiaqi Gu, Zhengqi Gao, Chenghao Feng, Hanqing Zhu, Ray T. Chen, Duane S. Boning and David Z. Pan. This repo is the official implementati
This project is an unofficial summary of the resources related to VALSE and its annual seminar. Its main purpose is to more facilitate your communication and learning, and we also welcome your additions and suggestions.
简体中文 | English Abstract Official website | Official Accounts | Blog The main purpose of the VALSE annual seminar is to provide a stage for deep academ
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.
Version 2.0 (stable) Welcome to my homepage! News UNetFormer (accepted by ISPRS, Research Gate) and UAVid dataset are supported. ISPRS Vaihingen and P
Deployment and monitoring of machine learning models. (pronounced as in "Aye aye captain") Installation To install the package simply write the follow
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conserva
This repo implements Inverse Q-Learning (IQ-Learn) to reproduce human-driven vehicles' trajectories when they are following autonomous vehicles using the Waymo Open Dataset.
IQ-Learn-car-following This repo implements Inverse Q-Learning (IQ-Learn) to reproduce human-driven vehicles' trajectories when they are following aut
A Twilio A.I. Chatbot using Machine Learning, Artificial Intelligence, and Neural Networks! (Huggingface Transformers, Blenderbot 2.0, ParlAI)
SMSBot Introduction This is a very simple bot powered by BlenderBot 3 and Twilio. Send an SMS message to it! Installation Download Source: Run in Term
Dayana-Python-Lab dayana python lab, a place for py lovers, teaching, learning, gaming and have fun dayana is an open source organ for learning, build
Feathub Feathub is a feature store that facilitates feature development and deployment to achieve the following objectives: Reduce duplication of data
Streaming-Linebot A Line bot that provides dramas, movies, animation based on a finite state machine(FSM). Webscrapping dramas from douban, animation
MAML_for_Mechanical_Fault_Diagnosis A pytorch implementation of the mechanical fault diagnosis method using Model Agnostic Meta-Learning (MAML). This
Flowformer (ICML 2022) Flowformer: Linearizing Transformers with Conservation Flows Transformers have achieved impressive success in various areas. Ho
This repository contains the official release of the model "BanglaT5" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaNLG: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Bangla".
BanglaNLG This repository contains the official release of the model "BanglaT5" and associated downstream finetuning code and datasets introduced in t
Multilingual Emotion classification using BERT (fine-tuning). Published at the WASSA workshop (ACL2022).
XLM-EMO: Multilingual Emotion Prediction in Social Media Text Abstract Detecting emotion in text allows social and computational scientists to study h
Official pytorch implementation for Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion (CVPR 2022)
Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion This repository contains a pytorch implementation of "Learning to Listen: Modeling
Pivot your way deeper into networks by discovering hosts & ports, using a compromised machine via SSH
Contents About Puwr Upcoming Features Puwr Usage Tested Systems Port scanning Showcases Disclaimer MIT License Puwr Easily expand your attack surface
Official code from the paper "Offline RL for Natural Language Generation with Implicit Language Q Learning"
Implicit Language Q Learning Official code from the paper "Offline RL for Natural Language Generation with Implicit Language Q Learning" project site
RITA is a family of autoregressive protein models, developed by LightOn in collaboration with the OATML group at Oxford and the Debora Marks Lab at Harvard.
RITA: a Study on Scaling Up Generative Protein Sequence Models RITA is a family of autoregressive protein models, developed by a collaboration of Ligh
SMART - PyTorch A PyTorch implementation of SMART, a regularization technique to fine-tune pretrained (language) models. You might also be interested
TriHorn-Net This repository contains the PyTorch implementation of TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation. It contains
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models This is an official PyTorch implementation of Adan. See paper here. If yo
Ida pro plugin. The antiVM aims to quickly identify anti-virtual machine and anti-sandbox behavior. This can speed up malware analysis.
antiVM ida pro plugin Description The antiVM aims to quickly identify anti-virtual machine and anti-sandbox behavior. This can speed up malware analys
[NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang
HyperGCL This is the repo for our NeurIPS 2022 paper based on Pytorch. Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative by
Reinforcement learning with Non-Exponential Discounting This repository is the official implementation of the paper Reinforcement learning with Non-Ex
[NeurIPS 2022] The official repository of Expression Learning with Identity Matching for Facial Expression Recognition
ELIM_FER Optimal Transport-based Identity Matching for Identity-invariant Facial Expression Recognition (NeurIPS 2022) Daeha Kim, Byung Cheol Song CVI
An official implementation for "X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval"
X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval Introduction The implementation of paper X-CLIP: End-to-End Multi-grain
Cog is an open-source tool that lets you package machine learning models in a standard, production-ready container.
Cog: Containers for machine learning Cog is an open-source tool that lets you package machine learning models in a standard, production-ready containe
Fast web spider to gether every single Links,forms,js files, endpoints, wayback urls. written in python, works on windows and linux.
Adrishya-Spider Fast web spider written in python. Gether every single Links,forms,js files, endpoints, wayback urls. works on windows and linux. Plat
Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
LaST: Learning Latent Seasonal-Trend Representations for Time Series Forecasting In this repository, we provide source code of LaST framework for repr
The official source code for "Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning"
Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning The official source code for "Deep single-cell RNA-seq data clus
SEDE (Simulator-based Explanations of DNN-Errors) Introduction SEDE is a tool that is used to generate explanations for DNN errors with any simulator.
RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).
Reinforcement Learning Exploration Baselines (RLeXplore) RLeXplore is a set of implementations of exploration approaches in reinforcement learning usi
A PyTorch implementation of paper AEDNet: Adaptive Edge-Deleting Network For Subgraph Matching. [Neural-Subgraph-Matching Method For Learning-Subgraph-Matching. (Approximate Subgraph matching, SubgraphMatching)]
Using policy iteration for guiding a robot to find the optimal (safest and shortest) path between start and end point
Reinforcement-Learning-Based-Path-Planning-for-a-Robot This project is about finding the optimal path between a start point and an endpoint in an envi
This is my machine learning model with image processing to predict if a person has covid-19, pneumonia, or is normal with 95% accuracy.
chest-xray-disease-prediction This is my machine learning model with image processing to predict if a person has covid-19, pneumonia, or is normal wit
Testing ML Learn how to create reliable ML systems by testing code, data and models. 👉 This repository contains the interactive notebook that complem
Apple_Disease_Classification Apple Disease Classification using Deep learning. Download the dataset from the link given below https://www.kaggle.com/c
Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings Overview This repo covers the implementation VisualCSE and AudioCSE in the
Git Re-Basin: Merging Models modulo Permutation Symmetries Code for the paper Git Re-Basin: Merging Models modulo Permutation Symmetries. Abstract: Th
Selective Annotation Makes Language Models Better Few-Shot Learners Code for paper Selective Annotation Makes Language Models Better Few-Shot Learners
Pytorch implementation of diffusion models on Lie Groups for 6D grasp pose generation https://sites.google.com/view/se3dif/home
Pytorch implementation of Diffusion models in SE(3) for grasp and motion generation This library provides the tools for training and sampling diffusio
Malware Detection using machine learning (MDML) Deployed application https://mdml.herokuapp.com/ Deployed on a free Heroku instance, thus, the perform
Robust Self-Ensembling Network for Hyperspectral Image Classification This is the official PyTorch implementation of the paper Robust Self-Ensembling
Machine Learning Engineering Zoomcamp 2022 This repository contains my scripts, answers & solutions to the Machine Learning Zoomcamp 2022, a hands-on
Solvent AI-Assisted Texture Generation Toolkit in Blender Features Text-to-Image Texture Generation Generate textures, concept art, and background ass
Multimodal Intent Recognition (MIntRec) This repo contains the official dataset and a unified framework for multimodal intent benchmarks of the resear
TimeChamber: A Massively Parallel Large Scale Self-Play Framework TimeChamber is a large scale self-play framework running on parallel simulation. Run
[TPAMI 2022] BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation This is the official implementation of our TPAMI pa
FST Overview The Pytorch implementation of Learning from Future: A Novel Self-Training Framework for Semantic Segmentation. [arXiv] Self-training has
AmazonReviews Amazon customer reviews sentiment classification / machine learning. Summary of project and results may be found within Richard_Robinson
CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA)
CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA) Overview This repository is intended to hos
Crypto Project Project for Web Scraping, MLOps and Cloud Computing with Crypto data. Step 1 - Web Scraping + Database architectures Core points: Web S
Class-Specific Channel Attention for Few-Shot Learning This repository is the official implementation for Class-Specific Channel Attention for Few-Sho
LossHub: Loss Functions Library for Image Classification and Detection Loss Functions for Image Classification Rmse: It is a frequently used measure o
DeepFish World of Warcraft fishing bot powered by Computer Vision and Deep Learning. Note: Usage of this bot is abuse of World of Warcraft terms of se
Some basic topics in the field of deep learning, including papers, notes and codes, etc., hope to be helpful to later people.
CVM-DL_Base Based on the fundamental topics of deep learning, all content is collected by members of the JLU-CVM Group. 🆕 New features Add the answer
"MDIO" is a library to work with large multidimensional energy datasets. The primary motivation behind MDIO is to represent multidimensional time seri
Official implementation of Learning from Unlabeled 3D Environments for Vision-and-Language Navigation (ECCV'22).
Learning from Unlabeled 3D Environments for Vision-and-Language Navigation This repository is the official implementation of Learning from Unlabeled 3
tweetopic: Blazing Fast Topic modelling for Short Texts ⚡ Blazing Fast topic modelling over short texts utilizing the power of 🔢 Numpy and 🐍 Numba.
Official PyTorch implementation of SynDiff described in the paper (https://arxiv.org/abs/2207.08208).
SynDiff Official PyTorch implementation of SynDiff described in the paper. Muzaffer Özbey, Salman UH Dar, Hasan A Bedel, Onat Dalmaz, Şaban Özturk, Al
Code for Improving Task-free Continual Learning by Distributionally Robust Memory Evolution (ICML 2022)
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution (ICML 2022) Package Requirements Python 3.8 Pytorch 1.8.1 Note : Ou
ManyFold An efficient and flexible library in Jax for distributed training and batched validation of protein folding models. Description ManyFold supp
This is the official code of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'
End-to-end-DRL-for-FJSP #---------------------------------------------------------------------------------- 2022/09/12 Some issues are resolveed, plea
Code for the paper: Automatic Segmentation of Dura for Quantitative of LUmar Stenosis: a deep learning study with 518 Myelograms.
CTM-DuraSeg Code for the paper: Automatic Segmentation of Dura for Quantitative of Lumar Stenosis: a deep learning study with 518 Myelograms. Dependen
SEE-VCN This is the official codebase for Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in 3D Object Detection Abstract Every a
This Website summarises the Challenge of Data Analysis on a sample dataset of Automotive Industry. Data was analysed to find out the most popular Car Specification, most popular Car Type and the Power of car based on Fuel Capacity.
This is a repository for the open-source project flaskriver which will make it easier to combine the lightweight web-framework flask with the online-ML library river.
Flask-River: This is a repository for an experimental project where I will try to combine the online ML capabilities of the library "River" with the l
Official PyTorch implementation for the paper "Aerial View Goal Localization with Reinforcement Learning"
AiRLoc: Aerial View Goal Localization with Reinforcement Learning Official PyTorch implementation of AiRLoc by Aleksis Pirinen, Anton Samuelsson, John
Brain tumors segmentation The advancement in healthcare and biotechnology have led to the growing use and need of AI in medical imaging analysis. AI t
Code for paper "Learning Sequential And General Interests via A Joint Neural Model for Session-based Recommendation"
SGINM Code for paper "Learning Sequential And General Interests via A Joint Neural Model for Session-based Recommendation (2020, Neurocomputing)" How
A part of the Capstone project in Bootcamp Techainer 2022. This model is a transfer learning YOLOv7 model.
Food_Recognition A part of the Capstone project in Bootcamp Techainer 2022. This model is a transfer learning YOLOv7 model. Preparation To run it, you
I have developed a deep learning algorythm that uses the Tensorflow library to train the data and create a CNN model. By using this trained model, the program will be able to accurately detect defective products and provide the necessary visual representation. Also basic structure that I use can be applied to almost on anything
Syntax Tree For Arithmetic Expressions Visualizer Description Given a valid arithmetic expression (ex: (1+((2 * 5)*(3+4)))) outputs a graphical repres
Project Based Learning - Através do Cap 7 (Conceitos avançados de algoritmos e fluxogramas para lógica nas tomadas de decisões - Criar o seu programa com Python) do curso de Engenharia de Software na FIAP, tivemos o desafio de criar um programa em Python para a conscientização de fumantes.
PBL_conscientização Project Based Learning - Através do Cap 7 (Conceitos avançados de algoritmos e fluxogramas para lógica nas tomadas de decisões - C
PPO implementation of the DRL agent used in the paper "Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case"
This code includes the PPO implementation of the DRL agent used in the paper: Deep Reinforcement Learning meets Graph Neural Networks: exploring a rou
CIKM AnalytiCup-2022 This is the source code for CIKM 2022 AnalytiCup Competition [link]. This repo is developed based on the federated learning frame
Nim-AI Play a game of nim against an AI trained with Q-learning. Nim is a game wherein two players take turns picking objects from piles with the goal
Designed a containerized pipeline to detect fake-face submissions using a CNN model including generation of fake datasets for machine learning in a Test Driven Development environment.
Designed a containerized pipeline to detect fake-face submissions using a CNN model including generation of fake datasets for machine learning in a Test Driven Development environment.