Alternatives and similar repositories for ml-resources

Users that are interested in ml-resources are comparing it to the libraries listed below

• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆241Updated 5 years ago
• kihosuh / nips_2017
  videos, slides, and others from NIPS 2017
  ☆180Updated 7 years ago
• joanbruna / MathsDL-spring18
  Topics course Mathematics of Deep Learning, NYU, Spring 18
  ☆544Updated 2 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆276Updated 6 years ago
• Atcold / SP19-DL-collaborative-notes
  Collaborative lecture notes for Spring '19 NYU DL class
  ☆119Updated 5 years ago
• mila-iqia / summerschool2017
  Material for the Montréal Deep Learning Summer School 2017
  ☆77Updated 7 years ago
• robi56 / awesome-bayesian-deep-learning
  A curated list of resources dedicated to bayesian deep learning
  ☆415Updated 8 years ago
• napsternxg / pytorch-practice
  Some example scripts on pytorch
  ☆198Updated 3 years ago
• vasiloglou / mltrain-nips-2017
  This repository contains all the material for the MLTrain NIPS workshop
  ☆246Updated 7 years ago
• hoangcuong2011 / Good-Papers
  I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my not…
  ☆283Updated 5 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆185Updated last year
• acbraith / CSML_notes
  UCL MSc Computational Statistics and Machine Learning Revision Notes
  ☆286Updated 6 years ago
• sjchoi86 / bayes-nn
  Lecture notes on Bayesian deep learning
  ☆484Updated 7 years ago
• rickiepark / awesome-pytorch
  Awesome PyTorch
  ☆283Updated last year
• LMescheder / AdversarialVariationalBayes
  This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…
  ☆206Updated 7 years ago
• wassname / viz_torch_optim
  Videos of deep learning optimizers moving on 3D problem-landscapes
  ☆107Updated 10 months ago
• pluskid / fitting-random-labels
  Example code for the paper "Understanding deep learning requires rethinking generalization"
  ☆178Updated 5 years ago
• zackchase / python-wow
  Python, so easy, wow!
  ☆139Updated 4 years ago
• nmhkahn / pytorch-exercise
  Practical Exercise Codes for PyTorch
  ☆271Updated 7 years ago
• ee227c / ee227c.github.io
  EE227C (Spring 2018) Course page
  ☆224Updated 4 years ago
• Kyubyong / pytorch_exercises
  ☆317Updated 7 years ago
• joanbruna / ir18
  Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18
  ☆66Updated 6 years ago
• jsuarez5341 / Recurrent-Highway-Hypernetworks-NIPS
  Cleaned original source code from my NIPS publication
  ☆155Updated 7 years ago
• edwardlib / papers
  Edward content including papers, posters, and talks
  ☆91Updated 4 years ago
• deeplearning-math / deeplearning-math.github.io
  A Course on Mathematical Theories of Deep Learning
  ☆79Updated 4 years ago
• liupeng3425 / interpretable-research
  I collected some papers about interpretable CNN and reorganized them here.
  ☆131Updated 6 years ago
• pukkapies / dl-imperial-maths
  Code and assignment repository for the Imperial College Mathematics department Deep Learning course
  ☆263Updated 6 years ago
• junlulocky / bayesian-deep-learning-notes
  A list of notes on Bayesian deep learning papers
  ☆53Updated 2 years ago
• andrewliao11 / dni.pytorch
  Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch
  ☆119Updated 7 years ago
• inf16nyu / home
  ☆77Updated 8 years ago