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Text classification using deep learning models in Pytorch

NMA deep learning course

Papers about explainability of GNNs

HumanNeRF turns a monocular video of moving people into a 360 free-viewpoint video.

Implementation of the sparse attention pattern proposed by the Deepseek team in their "Native Sparse Attention" paper

depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

Fast Multi-dimensional Sparse Attention

[ECCV2022] MOTR: End-to-End Multiple-Object Tracking with TRansformer

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.

A header-only C++ library for numerical optimization --

Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)

Python package for graph neural networks in chemistry and biology

Network estimating 3D Handpose from single color images

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

Resources about time series forecasting and deep learning.

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)

A curated list of awesome Active Learning

Use Unity 3D character and Python deep learning algorithms to stream as a VTuber!

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

IJCAI2023 - Collaborative Neural Rendering using Anime Character Sheets

MobileNetV3 in pytorch and ImageNet pretrained models

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.

A powerful baseline for image classification, face recognition and image retrieval with Pytorch

A fast and differentiable QP solver for PyTorch.

PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)

key Deep Learning engineering tricks in recsys

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

AI 图片生成

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

A Python high-performance screen capture library for Windows using Desktop Duplication API - Updated 2026

Physics-Informed Neural networks for Advanced modeling

Tabular Deep Learning Library for PyTorch

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

Deep Reinforcement Learning with pytorch & visdom

Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"

Machine learning framework for both deep learning and traditional algorithms

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

Rich-Text-to-Image Generation

Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing