Alternatives and similar repositories for CPSC540machinelearning:

Users that are interested in CPSC540machinelearning are comparing it to the libraries listed below

• jfsantos / keras-tutorial
  Tutorial teaching the basics of Keras and some deep learning concepts
  ☆104Updated 8 years ago
• mila-iqia / summerschool2016
  Montréal Deep Learning Summer School 2016 material
  ☆100Updated 8 years ago
• mleue / oxford-deep-nlp-2017-solutions
  my solutions for oxford's "deep nlp 2017" practical assignments
  ☆65Updated 7 years ago
• joanbruna / ir17
  ☆31Updated 7 years ago
• lamblin / bayareadlschool
  Slides and exercises for the Theano tutorial at the Deep Learning School in Stanford, September 24-25, 2016
  ☆114Updated 8 years ago
• samwit / TensorFlowTalks
  TensorFlow Meetup Talks
  ☆56Updated 6 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 5 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆79Updated 7 years ago
• TimSalimans / HiggsML
  My second place solution to the Higgs Boson Machine Learning Challenge
  ☆82Updated 10 years ago
• mila-iqia / summerschool2017
  Material for the Montréal Deep Learning Summer School 2017
  ☆77Updated 7 years ago
• bobflagg / cs224d-deep-learning-for-nlp
  Notes, code, and other resoruces for auditing the course CS224d: Deep Learning for Natural Language Processing
  ☆51Updated 9 years ago
• mikesj-public / rnn_spelling_bee
  ☆45Updated 8 years ago
• mlberkeley / Deep-Learning-Decal-Fall-2017
  ☆26Updated 7 years ago
• alexbw / bayarea-dl-summerschool
  Torch notebooks and slides for the Bay Area Deep Learning Summer School
  ☆97Updated 8 years ago
• uvadlc / uvadlc_practicals_2016
  Repository for practical assignments for UvA Deep Learning Course 2016
  ☆51Updated 7 years ago
• Atcold / pytorch-Video-Tutorials
  The versatility of Python enlightened by Torch to seize Deep Learning
  ☆128Updated 7 years ago
• YerevaNN / Deep-Learning-Papers-Reading-Roadmap
  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
  ☆34Updated 8 years ago
• ADGEfficiency / dsr-rl
  Reinforcement learning course at Data Science Retreat
  ☆42Updated 5 years ago
• NathanEpstein / pydata-reinforce
  code for pydata madrid presentation
  ☆53Updated 8 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆118Updated 8 years ago
• u1234x1234 / kaggle-yelp-restaurant-photo-classification
  Winning solution scripts
  ☆53Updated 7 years ago
• DeepLearningDTU / Summerschool_2015
  Deep Learning DTU summer school 2015
  ☆22Updated 8 years ago
• llSourcell / synthetic_gradients_explained
  This is the code for "Synthetic Gradients Explained" by Siraj Raval on Youtube
  ☆62Updated 6 years ago
• aguschin / flavours-of-physics
  https://www.kaggle.com/c/flavours-of-physics
  ☆24Updated 9 years ago
• siddharth-agrawal / Convolutional-Neural-Network
  ☆107Updated 6 years ago
• joosthub / pytorch-nlp-tutorial-nyc2017
  Materials for O'Reilly DL 4 NLP tutorial (NYC, June 2017)
  ☆37Updated 7 years ago
• jayinai / how-to-kaggle
  A research into the workflow for Kaggle competition (and data science in general) collaboratively
  ☆47Updated 8 years ago
• kamperh / autoencoders_mnist
  Different types of autoencoders illustrated on MNIST using TensorFlow.
  ☆36Updated 6 years ago
• mpearmain / homesite
  Homesite Kaggle
  ☆30Updated 8 years ago
• fomorians / lstm-odyssey
  Implementations of "LSTM: A Search Space Odyssey" variants and their training results on the PTB dataset.
  ☆95Updated 7 years ago