danklotz / openNotes

Related projects ⓘ

Alternatives and complementary repositories for openNotes

• anishathalye / mathematics-of-deep-learning
  The Mathematics of Deep Learning, SIPB IAP 2018
  ☆74Updated 4 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
• bckenstler / dsb17-walkthrough
  An end-to-end walkthrough of the winning submission by grt123 for the Kaggle Data Science Bowl 2017
  ☆69Updated 7 years ago
• mlberkeley / deep-learning-reading-group
  A public wiki for the deep learning reading group at UC Berkeley
  ☆27Updated 8 years ago
• nipunbatra / CS-Research-Methods-Bootcamp
  ☆25Updated 6 years ago
• walterreade / PyNotes
  ☆22Updated 5 years ago
• DeepLearningDTU / nvidia_deep_learning_summercamp_2016
  Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016
  ☆26Updated 8 years ago
• deep-learning-indaba / practicals2017
  Deep Learning Indaba 2017 Practical content
  ☆7Updated 7 years ago
• ZFTurbo / Kaggle-Planet-Understanding-the-Amazon-from-Space
  3rd place solution
  ☆63Updated 5 years ago
• llSourcell / hyperparameter_optimization_strategies
  This is the Code for "How Do I Find the Best Hyperparameters?- The Math of Intelligence #7" By Siraj Raval on Youtube
  ☆61Updated 7 years ago
• fabianp / overview_optalgs
  ☆29Updated 4 years ago
• uvadlc / uvadlc_practicals_2016
  Repository for practical assignments for UvA Deep Learning Course 2016
  ☆51Updated 7 years ago
• Tgaaly / pytorch-cheatsheet
  Pytorch Cheatsheet
  ☆90Updated 6 years ago
• DanielSlater / PyDataLondon2016
  Collection of examples, links and slides for the tutorial "Building a Pong playing AI in just 1 hour(plus 4 days training...)" presented …
  ☆28Updated 8 years ago
• davidflanagan / notMNIST-to-MNIST
  A sample of the notMNIST dataset in MNIST format so you can drop new data into your existing MNIST neural nets
  ☆74Updated 6 years ago
• soumith / DeepLearningFrameworks
  Demo of running NNs across different frameworks
  ☆18Updated 7 years ago
• voice32 / deep_study
  ☆10Updated 6 years ago
• mlberkeley / Deep-Learning-Decal-Fall-2017
  ☆26Updated 7 years ago
• recastrodiaz / fastai-course-1-pytorch
  PyTorch port of Rachel's and Jeremy's 1st part Machine Learning course
  ☆57Updated 7 years ago
• KeremTurgutlu / deeplearning
  ☆160Updated 6 years ago
• rossant / awesome-python
  A curated list of awesome Python frameworks, libraries and software
  ☆8Updated 9 years ago
• pymc-learn / pymc-learn-book
  Book: Practical Probabilistic Machine Learning in Python
  ☆10Updated 3 years ago
• kevinzakka / blog-code
  My blog's code repository.
  ☆76Updated 5 years ago
• ahug / amld-pytorch-workshop
  Introduction to PyTorch Workshop at the AMLD 2019
  ☆31Updated 5 years ago
• EKami / planet-amazon-deforestation
  The open source repository for the Kaggle Amazon forest devastation competition https://www.kaggle.com/c/planet-understanding-the-amazon-…
  ☆127Updated 6 years ago
• jfsantos / keras-tutorial
  Tutorial teaching the basics of Keras and some deep learning concepts
  ☆104Updated 7 years ago
• kzuiderveld / deeplearning1
  Experiments for Jeremy Howard's deep learning courses
  ☆39Updated 7 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
  ☆67Updated 6 years ago
• 21eleven / math-of-intelligence
  my submissions for Siraj Raval's weekly challenges from The Math of Intelligence course.
  ☆68Updated 6 years ago