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Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch Tutorial for Deep Learning Researchers
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Awesome Pytorch List
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Natural Language Processing Tutorial for Deep Learning Researchers
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
The Incredible Pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Build your neural network easy and fast, 莫烦Python中文教学
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Machine Learning Collection
A resource for learning about Machine learning & Deep Learning
Deep Learning V2 Pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanod
A list of popular github projects related to deep learning
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
NeuralProphet: A simple forecasting package
Deep Learning Book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
✨Fast Coreference Resolution in spaCy with Neural Networks
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
ICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
A curated list of neural network pruning resources.
Deep Learning Time Series
List of papers, code and experiments using deep learning for time series forecasting
Chinese Text Classification Pytorch
C++ Implementation of PyTorch Tutorials for Everyone
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022
Awesome Pytorch List Cnversion
Andrew Ng Notes
This is Andrew NG Coursera Handwritten Notes.
Convolutional Neural Network for 3D meshes in PyTorch
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
Machine Learning Curriculum
💻 Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
A standard framework for modelling Deep Learning Models for tabular data
"Neural 3D Mesh Renderer" (CVPR 2018) by H. Kato, Y. Ushiku, and T. Harada.
A PyTorch port of the Neural 3D Mesh Renderer
Audio processing by using pytorch 1D convolution network
Blitz Bayesian Deep Learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
Neural Style Pt
PyTorch implementation of neural style transfer algorithm
allRank is a framework for training learning-to-rank neural models based on PyTorch.
Visualization toolkit for neural networks in PyTorch! Demo -->
Self Driving Car In Video Games
A deep neural network that learns to drive in video games
Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
Awesome Automl And Lightweight Models
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
Gnns For Nlp
Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
Use PyTorch to implement some classic frameworks
Neural relational inference for interacting systems - pytorch
Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
Deep learning with spiking neural networks (SNNs) in PyTorch.
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Pytorch implementation of newly added convolution
PyTorch code for the "Deep Neural Networks with Box Convolutions" paper
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Neural Backed Decision Trees
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
Internet-scale Neural Networks
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Pytorch From Zero To One
A PyTorch re-implementation of Neural Radiance Fields
Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function
Neural Turing Machines (NTM) - PyTorch Implementation
PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.
Real Time Network
real-time network architecture for mobile devices and semantic segmentation
Accurate Neural Network Potential on PyTorch
Deep neural models for core NLP tasks (Pytorch version)
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc
Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)
Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
Machine Learning Is All You Need
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
OptNet: Differentiable Optimization as a Layer in Neural Networks
Implementation of Neural Style Transfer in Pytorch
PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
Neural networks training pipeline based on PyTorch
Neural Collaborative Filtering
pytorch version of neural collaborative filtering
Text Classification Models Pytorch
Implementation of State-of-the-art Text Classification Models in Pytorch
Awesome Pytorch Scholarship
A list of awesome PyTorch scholarship articles, guides, blogs, courses and other resources.
A PyTorch Graph Neural Network Library
Pytorch Mini Tutorials
Minimal tutorials for PyTorch
Facilitating the design, comparison and sharing of deep text matching models.
A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)
Neural network toolkit for sentence pair modeling.
Official PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking" (CVPR 2020 Oral).
pytorch implementation of Domain-Adversarial Training of Neural Networks
Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
Simple A3C implementation with pytorch + multiprocessing
Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019
Naszilla is a Python library for neural architecture search (NAS)
Factorization Machine models in PyTorch
ACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (http://aclweb.org/anthology/P18-2038)
Fast Neural Style Pytorch
Fast Neural Style Transfer implementation in PyTorch 🎨 🎨 🎨
A pipeline to reconstruct 3d meshes based on Neural Radiance Fields
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