scoutbee / Pytorch Nlp Notebooks
Learn how to use PyTorch to solve some common NLP problems with deep learning.
Stars: ✭ 293
Projects that are alternatives of or similar to Pytorch Nlp Notebooks
Video Classification
Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
Stars: ✭ 543 (+85.32%)
Mutual labels: jupyter-notebook, pytorch-tutorial, transfer-learning
Fast Pytorch
Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
Stars: ✭ 346 (+18.09%)
Mutual labels: jupyter-notebook, pytorch-tutorial, transfer-learning
Bert Sklearn
a sklearn wrapper for Google's BERT model
Stars: ✭ 182 (-37.88%)
Mutual labels: jupyter-notebook, transfer-learning
Book deeplearning in pytorch source
Stars: ✭ 236 (-19.45%)
Mutual labels: jupyter-notebook, pytorch-tutorial
Pytorch Seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Stars: ✭ 3,418 (+1066.55%)
Mutual labels: jupyter-notebook, pytorch-tutorial
Dive Into Dl Pytorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Stars: ✭ 14,234 (+4758.02%)
Mutual labels: jupyter-notebook, pytorch-tutorial
Deeppicar
Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor
Stars: ✭ 242 (-17.41%)
Mutual labels: jupyter-notebook, transfer-learning
Image keras
Building an image classifier using keras
Stars: ✭ 162 (-44.71%)
Mutual labels: jupyter-notebook, transfer-learning
Pytorch Cheatsheet
Check out improved:
Stars: ✭ 256 (-12.63%)
Mutual labels: jupyter-notebook, pytorch-tutorial
ATA-GAN
Demo code for Attention-Aware Generative Adversarial Networks paper
Stars: ✭ 13 (-95.56%)
Mutual labels: transfer-learning, pytorch-tutorial
Pytorch Kaggle Starter
Pytorch starter kit for Kaggle competitions
Stars: ✭ 268 (-8.53%)
Mutual labels: jupyter-notebook, pytorch-tutorial
Pytorch Retraining
Transfer Learning Shootout for PyTorch's model zoo (torchvision)
Stars: ✭ 167 (-43%)
Mutual labels: jupyter-notebook, transfer-learning
Pytorch Practice
Some example scripts on pytorch
Stars: ✭ 166 (-43.34%)
Mutual labels: jupyter-notebook, pytorch-tutorial
Code Of Learn Deep Learning With Pytorch
This is code of book "Learn Deep Learning with PyTorch"
Stars: ✭ 2,262 (+672.01%)
Mutual labels: jupyter-notebook, pytorch-tutorial
Cvpr18 Inaturalist Transfer
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018
Stars: ✭ 164 (-44.03%)
Mutual labels: jupyter-notebook, transfer-learning
Pytorch Sentiment Analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Stars: ✭ 3,209 (+995.22%)
Mutual labels: jupyter-notebook, pytorch-tutorial
Pytorch Lesson Zh
pytorch 包教不包会
Stars: ✭ 279 (-4.78%)
Mutual labels: jupyter-notebook, pytorch-tutorial
Applied Dl 2018
Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs
Stars: ✭ 146 (-50.17%)
Mutual labels: jupyter-notebook, pytorch-tutorial
Pytorch Question Answering
Important paper implementations for Question Answering using PyTorch
Stars: ✭ 154 (-47.44%)
Mutual labels: jupyter-notebook, pytorch-tutorial
A Deep Dive into NLP with PyTorch
Learn how to use PyTorch to solve some common NLP problems with deep learning. View these notebooks on nbviewer.
-
1_BoW_text_classification.ipynb: Train a bag-of-words model to predict the sentiment of IMDB reviews -
2_embeddings.ipynb: Play around with different pretrained word embeddings -
3_rnn_text_classification.ipynb: Train an RNN to predict the sentiment of IMDB movie reviews -
4_character_text_generation.ipynb: Train a character-level RNN language model to generate weight loss articles -
5_seq2seq_attention_translation.ipynb: Train an RNN-based Seq2Seq model with attention to translate from English to French -
6_transformer_translation.ipynb: Train a pure self-attention based transformer Seq2Seq model to translate from English to French -
7_gpt2_finetuned_text_generation.ipynb: Fine-tune the pretrained (small) GPT-2 model to generate weight loss articles
Tutorials
| Events | Dates | Slides |
|---|---|---|
| PyData London 2019 | 12 Jul 2019 | link |
| PyData Cambridge 2019 | 15 Nov 2019 | link |
| DS Con Belgrade 2019 | 18 Nov 2019 | link |
Setup
Make sure you have a Google account and visit Google Colab. You should see a list of notebooks pop up:
If you have trouble with that, you can also save the notebook you want to run from this repo to your local filesystem, and then upload it to Google Colab with File -> Open Notebook -> Upload.
Basic Navigation
You can run cells with <SHIFT> + <ENTER>.
Missing packages
If you find that you are missing a necessary package, you can prepend ! to a bash command. For example, to install googledrivedownloader, you would run in a cell:
!pip install googledrivedownloader
Using a GPU
To use a GPU (for free!), select from the top menu from Colab Runtime -> Change Runtime Type -> Hardware Accelerator -> GPU. Pay attention to how much memory the GPU is currently using by clicking Runtime -> Manage Sessions.
Contributing
Feel free to submit a PR for cleanups, error-fixing, or adding new (relevant) content!
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].