kjw0612 / awesome-rnn

Related projects: ⓘ

• dennybritz / deeplearning-papernotes
  Summaries and notes on Deep Learning research papers
  ☆4,395Updated 6 years ago
• kjw0612 / awesome-deep-vision
  A curated list of deep learning resources for computer vision
  ☆10,754Updated last year
• pkmital / tensorflow_tutorials
  From the basics to slightly more interesting applications of Tensorflow
  ☆5,638Updated 2 years ago
• nlintz / TensorFlow-Tutorials
  Simple tutorials using Google's TensorFlow Framework
  ☆6,000Updated last year
• tflearn / tflearn
  Deep learning library featuring a higher-level API for TensorFlow.
  ☆9,617Updated 4 months ago
• aymericdamien / TopDeepLearning
  A list of popular github projects related to deep learning
  ☆5,870Updated 7 months ago
• lisa-lab / DeepLearningTutorials
  Deep Learning Tutorial notes and code. See the wiki for more info.
  ☆4,116Updated 3 years ago
• jtoy / awesome-tensorflow
  TensorFlow - A curated list of dedicated resources http://tensorflow.org
  ☆17,182Updated 5 months ago
• sbrugman / deep-learning-papers
  Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
  ☆3,192Updated 4 years ago
• BinRoot / TensorFlow-Book
  Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
  ☆4,454Updated last year
• fchollet / keras-resources
  Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
  ☆3,249Updated 7 months ago
• amaas / stanford_dl_ex
  Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
  ☆2,582Updated 3 years ago
• vahidk / EffectiveTensorflow
  TensorFlow tutorials and best practices.
  ☆8,622Updated 3 years ago
• chiphuyen / stanford-tensorflow-tutorials
  This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
  ☆10,321Updated 3 years ago
• RedditSota / state-of-the-art-result-for-machine-learning-problems
  This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to …
  ☆8,945Updated 5 years ago
• endymecy / awesome-deeplearning-resources
  Deep Learning and deep reinforcement learning research papers and some codes
  ☆2,852Updated 6 months ago
• terryum / awesome-deep-learning-papers
  The most cited deep learning papers
  ☆25,388Updated 8 months ago
• robertsdionne / neural-network-papers
  ☆1,951Updated 4 years ago
• HFTrader / DeepLearningBook
  ☆5,783Updated this week
• google-deepmind / learning-to-learn
  Learning to Learn in TensorFlow
  ☆4,063Updated 3 years ago
• leriomaggio / deep-learning-keras-tensorflow
  Introduction to Deep Neural Networks with Keras and Tensorflow
  ☆2,942Updated last year
• alrojo / tensorflow-tutorial
  Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
  ☆1,946Updated 7 years ago
• Lasagne / Lasagne
  Lightweight library to build and train neural networks in Theano
  ☆3,846Updated 2 years ago
• oxford-cs-deepnlp-2017 / lectures
  Oxford Deep NLP 2017 course
  ☆15,641Updated last year
• karpathy / char-rnn
  Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
  ☆11,569Updated 10 months ago
• floydhub / dl-docker
  An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
  ☆3,859Updated 5 years ago
• aleju / papers
  Summaries of machine learning papers
  ☆2,504Updated 3 years ago
• fchollet / deep-learning-models
  Keras code and weights files for popular deep learning models.
  ☆7,308Updated 3 years ago
• Theano / Theano
  Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays…
  ☆9,889Updated 8 months ago
• aikorea / awesome-rl
  Reinforcement learning resources curated
  ☆8,777Updated last year