Alternatives and similar repositories for papers

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

• aguschin / Guschin2015Stacking
  Дипломная работа бакалавра / Bachelor thesis
  ☆11Updated 10 years ago
• Bihaqo / exp-machines
  Exponential Machines implementation
  ☆42Updated 9 months ago
• bayesgroup / deepbayes2017
  ☆66Updated 8 years ago
• ddtm / dl-course
  DL Course Materials
  ☆106Updated 8 years ago
• crowdAI / crowdai-criteo-ad-placement-challenge-starter-kit
  Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge
  ☆18Updated 8 years ago
• lisa-lab / GSN
  Efficient implementation of Generative Stochastic Networks
  ☆12Updated 12 years ago
• AlexGrinch / rl_algorithms
  Implementations of different reinforcement learning algorithms
  ☆10Updated 7 years ago
• Scitator / papers
  ☆50Updated 7 years ago
• DeepLearningDTU / Summerschool_2015
  Deep Learning DTU summer school 2015
  ☆23Updated 9 years ago
• akarazeev / Papernotes
  📝 Papers I read and notes/reviews I made. Also useful links to courses (RL/NLP/Bio/QC/DevOps)
  ☆10Updated 4 years ago
• udsclub / DataFestKyiv2017
  All presentations from Data Fest Kyiv 2017 http://datafest.in.ua
  ☆13Updated 8 years ago
• yandexdataschool / MLatImperial2017
  Materials for the course of machine learning at Imperial College organized by Yandex SDA
  ☆84Updated 8 years ago
• oseledets / nla2015
  The main github repository for NLA2015 course
  ☆12Updated 9 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 8 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago
• JeanKossaifi / caltech-tutorial
  Material for my Caltech tutorial on deep learning and tensor methods
  ☆70Updated 7 years ago
• DeNeutoy / bayesian-rnn
  ☆62Updated 8 years ago
• tegg89 / Deep-tutorials
  A collection of tutorials from Deep Learning conferences.
  ☆32Updated 9 years ago
• vruvora / reinforcement-learning-kdd
  ☆42Updated 7 years ago
• codekansas / gandlf
  Generative Adversarial Networks in Keras
  ☆46Updated 4 years ago
• yell / mnist-challenge
  My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
  ☆70Updated 6 years ago
• ermongroup / BiasAndGeneralization
  ☆28Updated 6 years ago
• DLHacks / SRU
  The Statistical Recurrent Unit in Pytorch
  ☆34Updated 8 years ago
• xgfs / imd
  Code for MSID, a Multi-Scale Intrinsic Distance for comparing generative models, studying neural networks, and more!
  ☆52Updated 6 years ago
• rotinov / AGNES
  Flexible Reinforcement Learning Framework with PyTorch
  ☆22Updated 5 years ago
• mxbi / ftim
  Feature-Time Instability Metric
  ☆44Updated 9 years ago
• izmailovpavel / TTGP
  ☆26Updated 7 years ago
• didriknielsen / ds3_abi_exercises
  Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018
  ☆22Updated 7 years ago
• tyz910 / sberbank-qa
  Sberbank Data Science Contest 2017. Задача B: построение вопрос-ответной системы.
  ☆11Updated 7 years ago
• ADGEfficiency / dsr-rl
  Reinforcement learning course at Data Science Retreat
  ☆42Updated 6 years ago