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
• yandexdataschool / YSDA_deeplearning17
  Yandex SDA classes on deep learning. Version of year 2017
  ☆116Updated 7 years ago
• ddtm / dl-course
  DL Course Materials
  ☆106Updated 8 years ago
• yandexdataschool / ml-training-website
  ML Training website
  ☆43Updated 5 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆81Updated 7 years ago
• yandexdataschool / MLatImperial2016
  Materials for the course of machine learning at Imperial College organized by YSDA
  ☆23Updated 9 years ago
• cstorm125 / sophia
  Neural networks from scratch
  ☆108Updated 4 years ago
• gereleth / kaggle-telstra
  My code for Telstra Network Disruptions Kaggle competition
  ☆74Updated 8 years ago
• jayinai / how-to-kaggle
  A research into the workflow for Kaggle competition (and data science in general) collaboratively
  ☆48Updated 8 years ago
• jfsantos / keras-tutorial
  Tutorial teaching the basics of Keras and some deep learning concepts
  ☆104Updated 8 years ago
• yandexdataschool / mlhep2016
  Machine Learning in High Energy Physics 2016
  ☆76Updated 5 years ago
• bayesgroup / deepbayes2017
  ☆66Updated 7 years ago
• yandexdataschool / CSC_deeplearning
  3-day dive into deep learning at csc
  ☆25Updated 8 years ago
• TimSalimans / HiggsML
  My second place solution to the Higgs Boson Machine Learning Challenge
  ☆84Updated 10 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 6 years ago
• uvadlc / uvadlc_practicals_2016
  Repository for practical assignments for UvA Deep Learning Course 2016
  ☆51Updated 7 years ago
• shik3519 / programming-concepts-for-data-science
  Basics of programming: algorithms, data structures, object oriented programming
  ☆93Updated 6 years ago
• jayinai / kaggle-sequence
  A compiled list of kaggle competitions and their winning solutions for sequence problems.
  ☆35Updated 8 years ago
• llSourcell / The_evolution_of_gradient_descent
  This is the code for "The Evolution of Gradient Descent" by Siraj Raval on Youtube
  ☆62Updated 6 years ago
• machinelearningnanodegree / machine-learning
  Content for Udacity's Machine Learning curriculum
  ☆10Updated 6 years ago
• dnkirill / udacity-ml-nanodegree
  Udacity ML Nanodegree Projects
  ☆20Updated 8 years ago
• llSourcell / synthetic_gradients_explained
  This is the code for "Synthetic Gradients Explained" by Siraj Raval on Youtube
  ☆62Updated 6 years ago
• sravya8 / ML
  ☆35Updated 5 years ago
• walterreade / PyNotes
  ☆22Updated 6 years ago
• arogozhnikov / infiniteboost
  InfiniteBoost: building infinite ensembles with gradient descent
  ☆184Updated 6 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• aguschin / kaggle
  some useful code for kaggle competitions :)
  ☆17Updated 10 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆134Updated 4 years ago
• mephistopheies / mlworkshop39_042017
  MeetAI - machine learning workshop
  ☆56Updated 8 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