Alternatives and similar repositories for uvadlc_practicals_2016:

Users that are interested in uvadlc_practicals_2016 are comparing it to the libraries listed below

• NathanEpstein / pydata-reinforce
  code for pydata madrid presentation
  ☆53Updated 8 years ago
• mila-iqia / summerschool2016
  Montréal Deep Learning Summer School 2016 material
  ☆100Updated 8 years ago
• mila-iqia / summerschool2017
  Material for the Montréal Deep Learning Summer School 2017
  ☆77Updated 7 years ago
• DeepLearningDTU / nvidia_deep_learning_summercamp_2016
  Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016
  ☆26Updated 8 years ago
• igul222 / mnist_generative
  Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.
  ☆29Updated 9 years ago
• mleue / oxford-deep-nlp-2017-solutions
  my solutions for oxford's "deep nlp 2017" practical assignments
  ☆65Updated 7 years ago
• deontologician / atari_multitask
  Atari gauntlet for RL agents
  ☆29Updated 8 years ago
• alexbw / bayarea-dl-summerschool
  Torch notebooks and slides for the Bay Area Deep Learning Summer School
  ☆97Updated 8 years ago
• anlthms / whale-2015
  Right whale recognition
  ☆55Updated 9 years ago
• ilblackdragon / adversarial_workshop
  Adversarial Workshop code and presentation
  ☆38Updated 8 years ago
• craffel / Lasagne-tutorial
  Adding an ipynb tutorial to Lasagne
  ☆53Updated 7 years ago
• cilvrRG / DeepLearn-Theory
  Topics on theoretical, mathematical aspects of DL
  ☆71Updated 8 years ago
• kkurach / math_learning
  Learning to Discover Efficient Mathematical Identities
  ☆48Updated 10 years ago
• jfsantos / keras-tutorial
  Tutorial teaching the basics of Keras and some deep learning concepts
  ☆104Updated 8 years ago
• tegg89 / Deep-tutorials
  A collection of tutorials from Deep Learning conferences.
  ☆32Updated 8 years ago
• cilvrRG / RL
  Reading Group on Reinforcement Learning topics
  ☆55Updated 8 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 6 years ago
• JasonBenn / nips-scraper
  Scrapes the abstracts to NIPS 2017 papers.
  ☆40Updated 7 years ago
• kimhc6028 / forward-thinking-pytorch
  Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"
  ☆65Updated 7 years ago
• jayanthkoushik / sgd-feedback
  ☆69Updated 6 years ago
• pemami4911 / awesome-hyperparams
  A curated list of awesome hyperparameters for deep learning
  ☆78Updated 7 years ago
• shagunsodhani / pregel
  Tensorflow implementation of Graph Convolutional Network
  ☆77Updated 4 years ago
• codekansas / gandlf
  Generative Adversarial Networks in Keras
  ☆45Updated 4 years ago
• google-deepmind / mnist-cluttered
  Cluttered MNIST Dataset
  ☆51Updated 10 years ago
• bigaidream-projects / drmad
  DrMAD
  ☆107Updated 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
• hjweide / adversarial-autoencoder
  A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.
  ☆41Updated 8 years ago
• kastnerkyle / SciPy2015
  Talk for SciPy2015 "Deep Learning: Tips From The Road"
  ☆44Updated 9 years ago
• ifp-uiuc / an-analysis-of-unsupervised-pre-training-iclr-2015
  Experiment files for the paper "An Analysis of Unsupervised Pre-training in Light of Recent Advances", available here: http://arxiv.org/a…
  ☆18Updated 9 years ago
• fomorians / lstm-odyssey
  Implementations of "LSTM: A Search Space Odyssey" variants and their training results on the PTB dataset.
  ☆95Updated 7 years ago