Alternatives and similar repositories for shell_scripts

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

• sermakarevich / jigsaw-toxic-comment-classification-challenge
  ☆46Updated 2 years ago
• alessiamarcolini / deep-learning_best-practices
  ☆107Updated 7 years ago
• kzuiderveld / deeplearning1
  Experiments for Jeremy Howard's deep learning courses
  ☆39Updated 8 years ago
• vyraun / Megalodon
  Various ML/DL Resources organised at a single place.
  ☆189Updated 4 years ago
• binga / AnalyticsVidhya_Minihack
  Winning solution for Analytics Vidhya Mini Hack
  ☆21Updated 8 years ago
• vinayprabhu / Network_Science_Meets_Deep_Learning
  Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science
  ☆91Updated 6 years ago
• sayakpaul / Benchmarking-and-MLI-experiments-on-the-Adult-dataset
  Contains benchmarking and interpretability experiments on the Adult dataset using several libraries
  ☆35Updated 6 years ago
• bbli / ml_board
  a machine learning dashboard that displays hyperparameter settings alongside visualizations, and logs the scientist's thoughts throughout…
  ☆128Updated 2 years ago
• mlberkeley / deep-learning-reading-group
  A public wiki for the deep learning reading group at UC Berkeley
  ☆27Updated 8 years ago
• radekosmulski / quickdraw
  ☆168Updated 6 years ago
• radekosmulski / cifar10_docker
  ☆52Updated 7 years ago
• fastai / word-embeddings-workshop
  This contains materials for the word embeddings workshop
  ☆127Updated 8 years ago
• mpearmain / scikit-wrapRs
  ☆13Updated 8 years ago
• hardik2396 / Paraphrase-Classification
  ☆23Updated 8 years ago
• radekosmulski / aws-setup
  ☆28Updated 7 years ago
• jayinai / kaggle-sequence
  A compiled list of kaggle competitions and their winning solutions for sequence problems.
  ☆35Updated 9 years ago
• amauboussin / arxiv-twitterbot
  Twitterbot that uses machine learning to curate interesting arXiv papers
  ☆43Updated 7 years ago
• ADGEfficiency / dsr-rl
  Reinforcement learning course at Data Science Retreat
  ☆42Updated 6 years ago
• KeremTurgutlu / deeplearning
  ☆158Updated 6 years ago
• omarsar / deep_learning_notations
  Contains useful deep learning notations for writing blogs, presentations, and papers.
  ☆46Updated 5 years ago
• timdavidlee / learning-deep
  All my deep learning notes: contains v1 of machine learning with Jeremy Howard, and v1 of Fastai Deep Learning 2018 part 1
  ☆69Updated 7 years ago
• sravya8 / ML
  ☆35Updated 6 years ago
• jfsantos / keras-tutorial
  Tutorial teaching the basics of Keras and some deep learning concepts
  ☆104Updated 8 years ago
• kamperh / autoencoders_mnist
  Different types of autoencoders illustrated on MNIST using TensorFlow.
  ☆36Updated 7 years ago
• Arkady-A / Exploring-Machine-Learning
  Machine learning algorithms implementation in python with references, and with sketchy explanations.
  ☆62Updated 6 years ago
• deep-learning-indaba / indaba-2018
  Practical Notebooks for the Deep Learning Indaba 2018
  ☆145Updated 6 years ago
• yanneta / deep-learning-with-pytorch
  ☆49Updated 5 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆75Updated 5 years ago
• andrewdblevins / beyond_word2vec
  Slides for my doc2vec workshop/talk
  ☆29Updated 7 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago