Alternatives and similar repositories for skip-prediction-challenge-starter-kit

Users that are interested in skip-prediction-challenge-starter-kit are comparing it to the libraries listed below

• Machine-Learning-Tokyo / Reinforcement_Learning
  Material for MLT Reinforcement Learning workshops and study sessions
  ☆51Updated 5 years ago
• AYLIEN / adversarial-document-model
  Code needed to reproduce "Modeling documents with Generative Adversarial Networks"
  ☆37Updated 8 years ago
• deep-learning-indaba / indaba-2018
  Practical Notebooks for the Deep Learning Indaba 2018
  ☆146Updated 7 years ago
• keon / deep-nlp
  [In-Progress] Mini implementations of deep learning algorithms for natural language processing in PyTorch
  ☆30Updated 8 years ago
• sermakarevich / jigsaw-toxic-comment-classification-challenge
  ☆46Updated 3 years ago
• mxbi / kaggledays-paris
  Winning Solution to the Kaggle Days Paris offline competition
  ☆63Updated 6 years ago
• joosthub / pytorch-nlp-tutorial-ny2018
  PyTorch NLP tutorial, O'Reilly AI NYC 2018
  ☆25Updated 7 years ago
• ADGEfficiency / dsr-rl
  Reinforcement learning course at Data Science Retreat
  ☆42Updated 6 years ago
• contentinnovation / NeurIPS-2018-papers
  Machine-generated summaries and highlights of the every accepted paper at Thirty-second Conference on Neural Information Processing Syste…
  ☆71Updated 7 years ago
• benhamner / nips-papers
  ☆29Updated 5 years ago
• seba-1511 / randopt
  Streamlined machine learning experiment management.
  ☆108Updated 5 years ago
• johannespetrat / OptML
  Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.
  ☆78Updated 7 years ago
• joosthub / pytorch-nlp-tutorial-nyc2017
  Materials for O'Reilly DL 4 NLP tutorial (NYC, June 2017)
  ☆37Updated 8 years ago
• amueller / structured-prediction-workshop
  Introduction to structured prediction with Python and pystruct
  ☆18Updated 7 years ago
• ranihorev / arxiv-network-graph
  Arxiv's ML papers network graph and browser
  ☆80Updated 6 years ago
• pmichel31415 / jsalt-2019-mt-tutorial
  MT Tutorial for the JSALT 2019 Summer School
  ☆48Updated 6 years ago
• wangz10 / class_imbalance
  Jupyter Notebook presentation for class imbalance in binary classification
  ☆48Updated 7 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• DongjunLee / notes
  The notes for Math, Machine Learning, Deep Learning and Research papers.
  ☆49Updated 6 years ago
• flrngel / TagSpace-tensorflow
  Tensorflow implementation of Facebook TagSpace
  ☆74Updated 6 years ago
• Maluuba / sentiment-analysis-workshop
  Deep Learning for Language Workshop prepared for the AI For Social Good Summer Lab, 2018
  ☆23Updated 3 years ago
• GokuMohandas / the-neural-perspective
  📓 Notes from The Neural Perspective (discontinued) blog.
  ☆83Updated 7 years ago
• maciejkula / mixture
  ☆27Updated 7 years ago
• layer6ai-labs / RecSys2018
  1'st Place Approach by Layer6 AI to the 2018 ACM RecSys Challenge
  ☆83Updated last year
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago
• AdeelMufti / DifferentiableNeuralComputer
  Optimized Differentiable Neural Computer In Chainer
  ☆23Updated 7 years ago
• hamaadshah / gan_tensorflow
  Automatic feature engineering using Generative Adversarial Networks using TensorFlow.
  ☆51Updated 2 years ago
• deniederhut / safe-handling-instructions-for-missing-data
  Code and data for SciPy 2018 talk on missing data
  ☆21Updated 7 years ago
• danielhanchen / sciblox
  sciblox - Easier Data Science and Machine Learning
  ☆50Updated 8 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