gyunggyung / Pytorch
Licence: mit
PyTorch tutorials A to Z
Stars: ✭ 87
Projects that are alternatives of or similar to Pytorch
Pytorch Pos Tagging
A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
Stars: ✭ 96 (+10.34%)
Mutual labels: jupyter-notebook, pytorch-tutorial, cnn
Pratik Derin Ogrenme Uygulamalari
Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.
Stars: ✭ 200 (+129.89%)
Mutual labels: jupyter-notebook, cnn, mnist
End To End Sequence Labeling Via Bi Directional Lstm Cnns Crf Tutorial
Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
Stars: ✭ 87 (+0%)
Mutual labels: jupyter-notebook, pytorch-tutorial, cnn
Pytorch Sentiment Analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Stars: ✭ 3,209 (+3588.51%)
Mutual labels: jupyter-notebook, pytorch-tutorial, cnn
Video Classification
Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
Stars: ✭ 543 (+524.14%)
Mutual labels: jupyter-notebook, pytorch-tutorial, cnn
Svhn Cnn
Google Street View House Number(SVHN) Dataset, and classifying them through CNN
Stars: ✭ 44 (-49.43%)
Mutual labels: jupyter-notebook, cnn, mnist
Pytorch Learners Tutorial
PyTorch tutorial for learners
Stars: ✭ 97 (+11.49%)
Mutual labels: jupyter-notebook, pytorch-tutorial, cnn
Pytorch Image Classification
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Stars: ✭ 272 (+212.64%)
Mutual labels: jupyter-notebook, pytorch-tutorial, cnn
Fast Pytorch
Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
Stars: ✭ 346 (+297.7%)
Mutual labels: jupyter-notebook, pytorch-tutorial, cnn
Early Stopping Pytorch
Early stopping for PyTorch
Stars: ✭ 612 (+603.45%)
Mutual labels: jupyter-notebook, pytorch-tutorial, mnist
Deep Learning Boot Camp
A community run, 5-day PyTorch Deep Learning Bootcamp
Stars: ✭ 1,270 (+1359.77%)
Mutual labels: jupyter-notebook, gpu, pytorch-tutorial
Tsne Cuda
GPU Accelerated t-SNE for CUDA with Python bindings
Stars: ✭ 1,120 (+1187.36%)
Mutual labels: gpu, mnist
Vitech
tuyển chọn các tài liệu về công nghệ bằng tiếng Việt
Stars: ✭ 63 (-27.59%)
Mutual labels: jupyter-notebook, pytorch-tutorial
Deeplearning Nlp Models
A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.
Stars: ✭ 64 (-26.44%)
Mutual labels: jupyter-notebook, cnn
Aiopen
AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。
Stars: ✭ 62 (-28.74%)
Mutual labels: jupyter-notebook, gpu
Gtsrb
Convolutional Neural Network for German Traffic Sign Recognition Benchmark
Stars: ✭ 65 (-25.29%)
Mutual labels: jupyter-notebook, cnn
Pandas Tutorial
Tutorial on Using Pandas
Stars: ✭ 66 (-24.14%)
Mutual labels: jupyter-notebook, tutorial-code
Ios Coreml Mnist
Real-time Number Recognition using Apple's CoreML 2.0 and MNIST -
Stars: ✭ 74 (-14.94%)
Mutual labels: jupyter-notebook, mnist
Understaing Datasets Estimators Tfrecords
Try to use tf.estimator and tf.data together to train a cnn model.
Stars: ✭ 76 (-12.64%)
Mutual labels: jupyter-notebook, cnn
Contents
1. PyTorch Basic
- basic
- variable autograd
- Linear Regression Models
- NonLinear Models
- Classification Models
- Batch Tranining
2. Neural Network Basic
3. Vison
4. NLP
- Word Embedding
- Text classificationw
- NNLMW
- Seq2Seq
- RNN text generation
- Reinforcement learning text generation
- ELMO
- Transformer
- BERT
- GPT-2
- Transformer-XL
- XLNet
- T5
System requirements
conda install pytorch torchvision cudatoolkit=10.1 -c pytorch
pip install -r requirements.txt
Getting Started
$ git clone https://github.com/gyunggyung/PyTorch.git
$ cd PyTorch
$ jupyter notebook
Other Github
tutorial
book
Vison
- StyleGAN_PyTorch
- hashtag-prediction-pytorch
- stargan-v2
- glow -albumentations
- kill-the-bits
- gen-efficientnet-pytorch
NLP
- pytorch-seq2seq
- transformers
- fairseq
- KorQuAD
- R-BERT
- JointBERT
- Korean_NER_CNN_BiLSTM
- pytorch-bert-crf-ner
- bert-event-extraction
- InvariantRiskMinimization
- V2V-PoseNet-pytorch
- mrqa
- vizseq
- nlp-tutorial
- OpenNMT-py
- mrc-for-flat-nested-ner
- mt-dnn
Speech
recommender models
Recommended Reading
PyTorch basics
- http://pytorch.org/ For installation instructions
- Offical PyTorch tutorials for more tutorials (some of these tutorials are included there)
- Deep Learning with PyTorch: A 60-minute Blitz to get started with PyTorch in general
- Introduction to PyTorch for former Torchies if you are a former Lua Torch user
- jcjohnson's PyTorch examples for a more in depth overview (including custom modules and autograd functions)
Recurrent Neural Networks
- The Unreasonable Effectiveness of Recurrent Neural Networks shows a bunch of real life examples
- Deep Learning, NLP, and Representations for an overview on word embeddings and RNNs for NLP
- Understanding LSTM Networks is about LSTMs work specifically, but also informative about RNNs in general
Machine translation
- Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
- Sequence to Sequence Learning with Neural Networks
Attention models
- Neural Machine Translation by Jointly Learning to Align and Translate
- Effective Approaches to Attention-based Neural Machine Translation
Other RNN uses
Other PyTorch tutorials
Author
gyung/ @gyunggyung
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].