Alternatives and similar repositories for CE9010_2018

Users that are interested in CE9010_2018 are comparing it to the libraries listed below

• xbresson / CE7454_2018
  Deep learning course CE7454, 2018
  ☆78Updated 5 years ago
• xbresson / IPAM_Tutorial_2019
  Notebooks for IPAM Tutorial, March 15 2019
  ☆24Updated 6 years ago
• mpatacchiola / Y-AE
  Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern R…
  ☆52Updated 4 years ago
• ritchieng / eigenvectors-from-eigenvalues
  PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.
  ☆99Updated 3 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆95Updated 2 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 5 years ago
• epfml / opt-shortcourse
  Short Course on Optimization for Machine Learning - Slides and Practical Lab - Pre-doc Summer School on Learning Systems, July 3 to 7, 20…
  ☆18Updated 7 years ago
• apaszke / examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆10Updated 5 years ago
• david-abel / icml_2019
  Notes for ICML 2019
  ☆38Updated 6 years ago
• Cyanogenoid / perm-optim
  [ICLR 2019] Learning Representations of Sets through Optimized Permutations
  ☆36Updated 6 years ago
• shagunsodhani / torch-template
  Boiler plate code for Torch based ML projects
  ☆10Updated 3 years ago
• mdeff / ntds_2019
  Material for the EPFL master course "A Network Tour of Data Science", edition 2019.
  ☆68Updated 5 years ago
• epfml / opt-summerschool
  Short Course on Optimization for Machine Learning - Slides and Practical Labs - DS3 Data Science Summer School, June 24 to 28, 2019, Pari…
  ☆20Updated 5 years ago
• JeanKossaifi / caltech-tutorial
  Material for my Caltech tutorial on deep learning and tensor methods
  ☆70Updated 6 years ago
• JeanKossaifi / ifi-summer-school
  Slides and notebooks for the IfI Summer School 2018 on Machine Learning
  ☆36Updated 6 years ago
• sinead / DS32019
  Materials for short course on Bayesian inference at the Data Science Summer School
  ☆13Updated 5 years ago
• didriknielsen / ds3_abi_exercises
  Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018
  ☆22Updated 6 years ago
• soumith / mltrain-nips-2017
  This repository contains all the material for the MLTrain NIPS workshop
  ☆10Updated 7 years ago
• rajatvd / NeuralODE
  Experiments with Neural ODEs and Adversarial Attacks
  ☆44Updated 6 years ago
• duvenaud / learn-discrete
  Graduate topics course on learning discrete latent structure.
  ☆67Updated 6 years ago
• agarwl / neural_additive_models
  Repo for open sourcing the NAMs.
  ☆25Updated 4 years ago
• PrincetonLIPS / reversible-inductive-construction
  Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)
  ☆30Updated 4 years ago
• convnets-as-gps / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆16Updated 6 years ago
• hadyelsahar / EBM-visualizations
  notebooks of cool EBM visualizations
  ☆15Updated 4 years ago
• graphreason / graphreason.github.io
  Learning and Reasoning with Graph-Structured Data (ICML 2019 Workshop)
  ☆26Updated 5 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 5 years ago
• Zhenyu-LIAO / RMT4ELM
  A Random Matrix Approach to Extreme Learning Machine
  ☆14Updated 7 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 5 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆59Updated 5 years ago
• dglai / dgl_winter_school
  ☆32Updated 4 years ago