Alternatives and similar repositories for galatea:

Users that are interested in galatea are comparing it to the libraries listed below

• mila-iqia / summerschool2016
  Montréal Deep Learning Summer School 2016 material
  ☆100Updated 8 years ago
• mihaelacr / paper-notes
  My machine learning paper notes
  ☆44Updated 8 years ago
• hindupuravinash / nips2016
  A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016
  ☆223Updated 8 years ago
• uvadlc / uvadlc_practicals_2016
  Repository for practical assignments for UvA Deep Learning Course 2016
  ☆51Updated 7 years ago
• tonywu95 / eval_gen
  Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"
  ☆130Updated 7 years ago
• fastforwardlabs / vae-tf
  repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs
  ☆102Updated 7 years ago
• DeepLearningDTU / nvidia_deep_learning_summercamp_2016
  Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016
  ☆26Updated 8 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 6 years ago
• Atcold / pytorch-Video-Tutorials
  The versatility of Python enlightened by Torch to seize Deep Learning
  ☆128Updated 7 years ago
• cilvrRG / DeepLearn-Theory
  Topics on theoretical, mathematical aspects of DL
  ☆71Updated 8 years ago
• renmengye / tensorflow-forward-ad
  Forward-mode Automatic Differentiation for TensorFlow
  ☆140Updated 6 years ago
• viking-sudo-rm / StackNN
  Experiments with differentiable stacks and queues in PyTorch
  ☆142Updated 5 years ago
• codekansas / gandlf
  Generative Adversarial Networks in Keras
  ☆45Updated 3 years ago
• yaoli / GSN
  Efficient implementation of Generative Stochastic Networks
  ☆316Updated 8 years ago
• martius-lab / l4-optimizer
  Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"
  ☆124Updated 5 years ago
• negrinho / deep_architect_legacy
  DeepArchitect: Automatically Designing and Training Deep Architectures
  ☆143Updated 5 years ago
• kihosuh / nips_2017
  videos, slides, and others from NIPS 2017
  ☆180Updated 6 years ago
• vasiloglou / mltrain-nips-2017
  This repository contains all the material for the MLTrain NIPS workshop
  ☆246Updated 7 years ago
• edwardlib / observations
  Tools for loading standard data sets in machine learning
  ☆203Updated 2 years ago
• mateuszmalinowski / visual_turing_test-tutorial
  Tutorial for Visual Turing Test (visual question answering, image question answering).
  ☆116Updated 8 years ago
• tegg89 / Deep-tutorials
  A collection of tutorials from Deep Learning conferences.
  ☆31Updated 8 years ago
• twitter-archive / torch-distlearn
  A set of distributed learning algorithms for Torch
  ☆93Updated 3 years ago
• alexbw / bayarea-dl-summerschool
  Torch notebooks and slides for the Bay Area Deep Learning Summer School
  ☆97Updated 8 years ago
• Newmu / gan_tutorial
  Tensorflow example of a conv GAN on MNIST.
  ☆93Updated 6 years ago
• pmiller10 / cambridge-ai
  ☆59Updated 5 months ago
• hyperopt / hyperopt-convnet
  Convolutional computer vision architectures that can be tuned by hyperopt.
  ☆70Updated 10 years ago
• uber-research / intrinsic-dimension
  ☆219Updated 6 years ago
• siemanko / tf-adversarial
  Adversarial networks in TensorFlow
  ☆170Updated 8 years ago
• stepelu / ptstat
  Probabilistic Programming and Statistical Inference in PyTorch
  ☆109Updated 7 years ago
• karpathy / tf-agent
  tensorflow reinforcement learning agents for OpenAI gym environments
  ☆111Updated 7 years ago