Alternatives and similar repositories for papers

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

• bayesgroup / deepbayes2017
  ☆66Updated 7 years ago
• fgvbrt / retro_contest
  ☆15Updated 2 years ago
• yandexdataschool / YSDA_deeplearning17
  Yandex SDA classes on deep learning. Version of year 2017
  ☆116Updated 8 years ago
• fgvbrt / nips_rl
  Code for NIPS 2017 learning to run challenge
  ☆38Updated 7 years ago
• Fritz449 / SRLF
  Simple Reinforcement Learning Framework
  ☆34Updated 7 years ago
• alxmamaev / theloop
  model-in-the-loop
  ☆42Updated 5 years ago
• Scitator / catalyst-examples
  Examples
  ☆54Updated 6 years ago
• velikodniy / tbparser
  Tensorboard parser
  ☆22Updated 7 months ago
• Bihaqo / exp-machines
  Exponential Machines implementation
  ☆41Updated 3 months ago
• Scitator / RL-intro
  ☆23Updated 5 years ago
• aguschin / Guschin2015Stacking
  Дипломная работа бакалавра / Bachelor thesis
  ☆11Updated 9 years ago
• Scitator / kittylyst
  A tiny Catalyst-like experiment runner framework on top of micrograd.
  ☆51Updated 4 years ago
• deeppavlov / tdl2
  Theoretical Deep Learning: generalization ability
  ☆46Updated 5 years ago
• likzet / bayesianBook
  Development of the book devoted to overview of connections between Bayesian Statistics and Bayesian Machine Learning
  ☆8Updated 5 years ago
• Dumbris / trunklucator
  Python module for data scientists for quick creating annotation projects.
  ☆83Updated 3 years ago
• n01z3 / kaggle_amazon_from_space
  Here my code from kaggle competition "Planet: Understanding the Amazon from Space"
  ☆41Updated 7 years ago
• rampeer / py-parallelize
  Parallelize your computations in parallel-apply fashion.
  ☆33Updated 5 years ago
• yandexdataschool / ml-training-website
  ML Training website
  ☆44Updated 5 years ago
• gaphex / yalg_ml_2k18
  First place solution for Yandex.Algorithm 2018 (ML Track)
  ☆21Updated 7 years ago
• Scitator / rl-course-experiments
  ☆77Updated 8 years ago
• Britefury / batchup
  Python library for extracting mini-batches of data from a data source for the purpose of training neural networks
  ☆87Updated 5 years ago
• DmitriiShubin / SBD
  Sub-Band Decomposition for Deep Networks applied to Time-series (Pytorch)
  ☆16Updated 5 years ago
• catalyst-team / catalyst-info
  ☆27Updated 5 years ago
• deeppavlov / deep-rl-seminars
  Materials for Deep RL seminars.
  ☆29Updated 7 years ago
• ddtm / dl-course
  DL Course Materials
  ☆106Updated 8 years ago
• oseledets / nla2017
  Skoltech 2017 NLA course
  ☆37Updated 6 years ago
• artyompal / tpu_models
  A fork of the official TPU models repo with fixes and a solution of the Kaggle Open Images 2019 Object Detection Challenge
  ☆49Updated 5 years ago
• udsclub / DataFestKyiv2017
  All presentations from Data Fest Kyiv 2017 http://datafest.in.ua
  ☆13Updated 8 years ago
• PacktPublishing / Practical-Deep-Reinforcement-Learning
  ☆34Updated 4 years ago
• aguschin / kaspersky_hackathon
  https://events.kaspersky.com/hackathon/
  ☆29Updated 7 years ago