assulan

assulan's Stars

• explosion/spaCy

  💫 Industrial-strength Natural Language Processing (NLP) in Python

  Language:Python30.1k5625.7k4.4k

• tensorflow/tensor2tensor

  Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

  Language:Python15.5k4651.2k3.5k

• bharathgs/Awesome-pytorch-list

  A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

  15.4k571162.8k

• jadore801120/attention-is-all-you-need-pytorch

  A PyTorch implementation of the Transformer model in "Attention is All You Need".

  Language:Python8.8k971812k

• vahidk/EffectiveTensorflow

  TensorFlow tutorials and best practices.

  8.6k34518907

• blei-lab/edward

  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

  Language:Jupyter Notebook4.8k271514759

• spro/practical-pytorch

  Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

  Language:Jupyter Notebook4.5k1471281.1k

• Kyubyong/transformer

  A TensorFlow Implementation of the Transformer: Attention Is All You Need

  Language:Python4.3k1101601.3k

• KupynOrest/DeblurGAN

  Image Deblurring using Generative Adversarial Networks

  Language:Python2.5k61223517

• alrojo/tensorflow-tutorial

  Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE

  Language:Jupyter Notebook1.9k1187449

• carpedm20/NTM-tensorflow

  "Neural Turing Machine" in Tensorflow

  Language:Jupyter Notebook1k6725214

• BAILOOL/DoYouEvenLearn

  Essential Guide to keep up with AI/ML/DL/CV

  1k730126

• ematvey/tensorflow-seq2seq-tutorials

  Dynamic seq2seq in TensorFlow, step by step

  Language:Jupyter Notebook9964836374

• datalogue/keras-attention

  Visualizing RNNs using the attention mechanism

  Language:Python7472649243

• digital-dreamer/blockchain-programming

  Links to online resources about cryptocurrency and decentralized application development

  429570108

• ericjang/gumbel-softmax

  categorical variational autoencoder using the Gumbel-Softmax estimator

  Language:Jupyter Notebook426813101

• zihangdai/mos

  Language:Python394131283

• DeNeutoy/act-tensorflow

  Adaptive Computation Time algorithm in Tensorflow

  Language:Python25516152

• mokemokechicken/keras_npi

  NPI(Neural Programmer-Interpreters) implementation with Keras

  Language:Python24417652

• Chung-I/Variational-Recurrent-Autoencoder-Tensorflow

  A tensorflow implementation of "Generating Sentences from a Continuous Space"

  Language:Python22818772

• plotly/dash-oil-and-gas-demo

  Dash Demo App - New York Oil and Gas

  Language:Python189437143

• EderSantana/gumbel

  Gumbel-Softmax Variational Autoencoder with Keras

  Language:Jupyter Notebook1339526

• GokuMohandas/the-neural-perspective

  📓 Notes from The Neural Perspective (discontinued) blog.

  Language:Python845141

• llSourcell/seq2seq_model_live

  Language:Jupyter Notebook735663

• DeNeutoy/bayesian-rnn

  Language:Python6210113

• RyanCCollins/deep-learning-nd

  Udacity Deep learning nanodegree projects

  Language:Python506045

• potokrm/oil-and-gas

  Oil and gas repo

  Language:Lasso3810027

• WarrenWeckesser/las

  Python reader for Canadian Well Logging Society LAS (Log ASCII Standard) files.

  Language:Python379315

• JeremyCCHsu/Gumbel-Softmax-VAE-in-tensorflow

  Semi-Supervised Learning with Categorical VAE (experimented on MNIST)

  Language:Python28417

• m-hahn/human-reading-neural-attention

  Language:Lua4210