Alternatives and similar repositories for MLatImperial2017

Users that are interested in MLatImperial2017 are comparing it to the libraries listed below

• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆80Updated 7 years ago
• ddtm / dl-course
  DL Course Materials
  ☆106Updated 8 years ago
• yandexdataschool / YSDA_deeplearning17
  Yandex SDA classes on deep learning. Version of year 2017
  ☆117Updated 8 years ago
• yandexdataschool / MLatImperial2016
  Materials for the course of machine learning at Imperial College organized by YSDA
  ☆23Updated 9 years ago
• jfsantos / keras-tutorial
  Tutorial teaching the basics of Keras and some deep learning concepts
  ☆104Updated 8 years ago
• MLWave / kaggle_acquire-valued-shoppers-challenge
  Code for the Kaggle acquire valued shoppers challenge
  ☆66Updated 11 years ago
• gereleth / kaggle-telstra
  My code for Telstra Network Disruptions Kaggle competition
  ☆74Updated 8 years ago
• cstorm125 / sophia
  Neural networks from scratch
  ☆108Updated 5 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆118Updated 9 years ago
• arogozhnikov / infiniteboost
  InfiniteBoost: building infinite ensembles with gradient descent
  ☆183Updated 6 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 6 years ago
• yandexdataschool / mlhep2016
  Machine Learning in High Energy Physics 2016
  ☆76Updated 5 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆76Updated 5 years ago
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 7 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• yell / mnist-challenge
  My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
  ☆70Updated 5 years ago
• mlberkeley / Deep-Learning-Decal-Fall-2017
  ☆26Updated 7 years ago
• jayinai / kaggle-sequence
  A compiled list of kaggle competitions and their winning solutions for sequence problems.
  ☆35Updated 9 years ago
• rasbt / pydata-chicago2016-ml-tutorial
  Machine learning with scikit-learn tutorial at PyData Chicago 2016
  ☆128Updated 8 years ago
• shik3519 / programming-concepts-for-data-science
  Basics of programming: algorithms, data structures, object oriented programming
  ☆93Updated 7 years ago
• sravya8 / ML
  ☆35Updated 6 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
• kevindewalt / ai-notebooks
  ☆63Updated 7 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 6 years ago
• szilard / benchm-dl
  Playing with various deep learning tools and network architectures
  ☆70Updated 7 years ago
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 6 years ago
• jdwittenauer / kaggle
  Repository for code used in Kaggle competitions.
  ☆22Updated 6 years ago
• chiphuyen / tf-oreilly
  Code for O'Reilly's "A Short Course on TensorFlow"
  ☆104Updated 8 years ago