Alternatives and similar repositories for awesome-rnn

Users that are interested in awesome-rnn are comparing it to the libraries listed below

• dennybritz / deeplearning-papernotes
  Summaries and notes on Deep Learning research papers
  ☆4,421Updated 7 years ago
• nlintz / TensorFlow-Tutorials
  Simple tutorials using Google's TensorFlow Framework
  ☆6,022Updated 2 years ago
• lisa-lab / DeepLearningTutorials
  Deep Learning Tutorial notes and code. See the wiki for more info.
  ☆4,142Updated 4 years ago
• pkmital / tensorflow_tutorials
  From the basics to slightly more interesting applications of Tensorflow
  ☆5,662Updated 3 years ago
• kjw0612 / awesome-deep-vision
  A curated list of deep learning resources for computer vision
  ☆11,042Updated 2 years ago
• robertsdionne / neural-network-papers
  ☆1,983Updated 5 years ago
• sbrugman / deep-learning-papers
  Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
  ☆3,194Updated 5 years ago
• jtoy / awesome-tensorflow
  TensorFlow - A curated list of dedicated resources http://tensorflow.org
  ☆17,502Updated 6 months ago
• alrojo / tensorflow-tutorial
  Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
  ☆1,956Updated 8 years ago
• fchollet / keras-resources
  Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
  ☆3,263Updated last year
• endymecy / awesome-deeplearning-resources
  Deep Learning and deep reinforcement learning research papers and some codes
  ☆2,934Updated last week
• soumith / convnet-benchmarks
  Easy benchmarking of all publicly accessible implementations of convnets
  ☆2,682Updated 8 years ago
• Lasagne / Lasagne
  Lightweight library to build and train neural networks in Theano
  ☆3,863Updated 3 years ago
• amaas / stanford_dl_ex
  Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
  ☆2,623Updated 4 years ago
• terryum / awesome-deep-learning-papers
  The most cited deep learning papers
  ☆25,968Updated last year
• tflearn / tflearn
  Deep learning library featuring a higher-level API for TensorFlow.
  ☆9,621Updated last year
• karpathy / char-rnn
  Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
  ☆11,840Updated last year
• yosinski / deep-visualization-toolbox
  DeepVis Toolbox
  ☆4,050Updated 5 years ago
• BinRoot / TensorFlow-Book
  Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
  ☆4,448Updated 2 years ago
• joanbruna / stat212b
  Topics Course on Deep Learning UC Berkeley
  ☆1,303Updated 7 years ago
• zer0n / deepframeworks
  Evaluation of Deep Learning Frameworks
  ☆2,045Updated 8 years ago
• andrewt3000 / DL4NLP
  Deep Learning for NLP resources
  ☆2,190Updated 6 years ago
• chiphuyen / stanford-tensorflow-tutorials
  This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
  ☆10,373Updated 4 years ago
• sjchoi86 / Tensorflow-101
  TensorFlow Tutorials
  ☆2,598Updated 5 years ago
• leriomaggio / deep-learning-keras-tensorflow
  Introduction to Deep Neural Networks with Keras and Tensorflow
  ☆2,968Updated 2 years ago
• sherjilozair / char-rnn-tensorflow
  Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
  ☆2,663Updated 4 years ago
• Newmu / Theano-Tutorials
  Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
  ☆1,296Updated 9 years ago
• andersbll / deeppy
  Deep learning in Python
  ☆1,379Updated 4 years ago
• aleju / papers
  Summaries of machine learning papers
  ☆2,507Updated 4 years ago
• floydhub / dl-setup
  Instructions for setting up the software on your deep learning machine
  ☆1,975Updated 7 years ago