Alternatives and similar repositories for GAN-Project-2018

Users that are interested in GAN-Project-2018 are comparing it to the libraries listed below

• adeshpande3 / NLP-Stuff
  Programs with word vectors, RNN, NLP stuff, etc
  ☆18Updated 8 years ago
• PacktPublishing / Mastering-PyTorch-for-Deep-Learning
  Mastering PyTorch for Deep Learning, Published by Packt
  ☆15Updated 5 years ago
• cavaunpeu / flight-delays
  Transfer learning for flight-delay prediction via variational autoencoders in Keras
  ☆35Updated 8 years ago
• llSourcell / Neural_Arithmetic_Logic_Units
  This is the code for "Neural Arithmetic Logic Units" By Siraj Raval on Youtube
  ☆91Updated 7 years ago
• grananqvist / NALU-tf
  Tensorflow implementation of Neural Arithmetic Logic Unit, Trask et al.
  ☆29Updated 7 years ago
• amueller / structured-prediction-workshop
  Introduction to structured prediction with Python and pystruct
  ☆18Updated 7 years ago
• mkurovski / emnist_dl2prod
  JuPyter Notebooks and Python Package for Deep Learning Model Exploration, Translation and Deployment
  ☆31Updated 6 years ago
• ageron / tiny-dqn
  A tiny implementation of Deep Q Learning, using TensorFlow and OpenAI gym
  ☆93Updated 4 years ago
• hamelsmu / Seq2Seq_Tutorial
  Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
  ☆138Updated 3 years ago
• DebPanigrahi / Machine-Learning
  Machine learning algorithms
  ☆113Updated 6 years ago
• HackerEarth-Challenges / Future_Datathon
  This is a machine learning challenge conducted by C&D Labs and Future Group in association with HackerEarth.
  ☆10Updated 8 years ago
• hamaadshah / gan_deeplearning4j
  Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.
  ☆21Updated 3 years ago
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆82Updated 5 years ago
• omarsar / deep_learning_notations
  Contains useful deep learning notations for writing blogs, presentations, and papers.
  ☆47Updated 6 years ago
• philipperemy / advanced-deep-learning-keras
  File repository for the course [Advanced Deep Learning with Keras]. Packt Publishing.
  ☆27Updated 7 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago
• nahidalam / NLP_Study_Group
  ☆10Updated 7 years ago
• llSourcell / Dimensionality_Reduction
  This is the Code for "Dimensionality Reduction - The Math of Intelligence #5" By Siraj Raval on Youtube
  ☆49Updated 8 years ago
• adeshpande3 / Music-Analysis
  Trying to apply deep learning to music analysis
  ☆12Updated 8 years ago
• llSourcell / The_evolution_of_gradient_descent
  This is the code for "The Evolution of Gradient Descent" by Siraj Raval on Youtube
  ☆62Updated 6 years ago
• rdipietro / jupyter-notebooks
  ☆78Updated 7 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• llSourcell / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆28Updated 7 years ago
• radekosmulski / fastai-rails
  ☆25Updated 3 years ago
• minimaxir / ml-data-generator
  Python script to generate fake datasets optimized for testing machine learning/deep learning workflows
  ☆50Updated 6 years ago
• aayushmnit / Data-science-presentation
  Collection of presentation of my work on various platforms and meetups
  ☆22Updated 6 years ago
• binga / DataHackSummit_2017
  Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark
  ☆32Updated 8 years ago
• hamaadshah / gan_tensorflow
  Automatic feature engineering using Generative Adversarial Networks using TensorFlow.
  ☆51Updated 2 years ago
• Vooban / Autoencoder-TensorBoard-t-SNE
  Plugging TensorBoard in an autoencoder on the MNIST dataset for demonstrating t-SNE embeddings visualization of unsupervised machine lear…
  ☆72Updated 7 years ago
• zotroneneis / tensorflow_deep_learning_models
  TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
  ☆37Updated 7 years ago