pytorch.md

PyTorch

• PyTorch - a deep learning framework that puts Python first
• github.com/pytorch
• Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
• the-incredible-pytorch
• Understand PyTorch code in 10 minutes
  • PyTorch는 4 가지 주요 패키지로 구성
  • torch : Numpy와 비슷한 범용 배열 라이브러리로서, 텐서 유형이 (torch.cuda.TensorFloat)로 변환될 때 GPU에서 계산을 수행 가능
  • torch.autograd : 그래프를 작성하고 자동으로 그라디언트를 얻는 패키지
  • torch.nn : 공통 레이어와 비용 함수가 있는 신경망 라이브러리
  • torch.optim : SGD, Adam 등과 같은 일반적인 최적화 알고리즘을 사용하는 최적화 패키지
• pytorch超入門
• PyTorch 0.1.8 Release
• Tutorial: Deep Learning in PyTorch
• pytorch-tutorial - tutorial for researchers to learn deep learning with pytorch
• DeepLearningForNLPInPytorch - An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction
• Minimal tutorials for PyTorch
• Practical PyTorch: Translation with a Sequence to Sequence Network and Attention
• How to extract features of an image from a trained model
• github.com/neuralix/google_evolution
• Kind PyTorch Tutorial for beginners
• PyTorch FastCampus
• BEGAN in PyTorch
• PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
• Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time" https://arxiv.org/pdf/1706.02480.pdf
• AGE - Code for paper "Adversarial Generator-Encoder Networks" by Dmitry Ulyanov, Andrea Vedaldi and Victor Lempitsky
• Recursive Neural Networks with PyTorch
• pytorch超入門
• PyTorch in 5 Minutes
• github.com/MorvanZhou/PyTorch-Tutorial
• github.com/meliketoy/Pytorch-wide-resnet
• github.com/taey16/pix2pixBEGAN.pytorch
• Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks) https://arxiv.org/pdf/1706.01427.pdf
• Make a Acquaintance with Pytorch
• Visual Question Answering in pytorch
• reinforce-gridworld.ipynb
• Pruning deep neural networks to make them fast and small
  • PyTorch Implementation of [1611.06440 Pruning Convolutional Neural Networks for Resource Efficient Inference]
  • Pruning은 네트워크의 inference 속도를 빠르게 하거나, 파라미터 크기를 줄이기 위해 성능을 유지함과 동시에 '네트워크의 가지를 쳐내는' 방법
  • 모바일 기기에 딥러닝 모델을 이식하기 위해 꼭 필요한 기술들 중에 하나이지만, 구현이 까다로움
• Seq2Seq in PyTorch
• Design by evolution - How to evolve your neural network. AutoML: time to evolve
• (Pytorch를 사용한) 단 50줄로 코드로 짜보는 GAN
• Attention is all you need: A Pytorch Implementation
• ResNet Fine-Tuning - Pytorch implementation of Fine-Tuning (Transfer Learning) Residual Networks
• PyTorch Implementation of the Unsupervised Image-to-Image Translation (UNIT) Networks
• Getting Up and Running with PyTorch on Amazon Cloud
• PyTorch_AWS설치.pdf
• PyTorch or TensorFlow?
• AWD-LSTM Language Model
• Understanding Attentive Recurrent Comparators
  • Attentive Recurrent Comparator 이해
  • arc-pytorch - PyTorch implementation of Attentive Recurrent Comparators by Shyam et al.
• Introducing Pytorch for fast.ai
• sru - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

Library

• AWD-LSTM Language Model
• Braindecode - A deep learning toolbox to decode raw time-domain EEG
• Deep Q-Learning with Pytorch
  • LSTM DQN for Snake
• DrQA - This is a PyTorch implementation of the DrQA system described in the ACL 2017 paper Reading Wikipedia to Answer Open-Domain Questions
• efficient_densenet_pytorch - A PyTorch implementation of DenseNets, optimized to save GPU memory
• fairseq-py - Facebook AI Research Sequence-to-Sequence Toolkit written in Python
• paragraph-vectors - A PyTorch implementation of Paragraph Vectors (doc2vec)
• PyCUDA
  • Deep-Learning-Boot-Camp/day02-PyTORCH-and-PyCUDA/PyCUDA
• pytorch-a2c-ppo-acktr
• pytorch-qrnn - Quasi-Recurrent Neural Network (QRNN) for PyTorch
• spotlight - Deep recommender models using PyTorch
• torchfold.py
  • PyTorch — Dynamic Batching