Alternatives and similar repositories for deep-learning-notes:

Users that are interested in deep-learning-notes are comparing it to the libraries listed below

• bayesgroup / deepbayes-2018
  Seminars DeepBayes Summer School 2018
  ☆1,046Updated 5 years ago
• google / compare_gan
  Compare GAN code.
  ☆1,822Updated 4 years ago
• Luolc / AdaBound
  An optimizer that trains as fast as Adam and as good as SGD.
  ☆2,910Updated last year
• google-deepmind / neural-processes
  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…
  ☆990Updated 4 years ago
• sjchoi86 / bayes-nn
  Lecture notes on Bayesian deep learning
  ☆483Updated 7 years ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆887Updated 9 months ago
• seungwonpark / RandWireNN
  Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
  ☆685Updated 5 years ago
• rtqichen / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆5,775Updated this week
• LiyuanLucasLiu / RAdam
  On the Variance of the Adaptive Learning Rate and Beyond
  ☆2,542Updated 3 years ago
• mila-iqia / welcome_tutorials
  Various tutorials given for welcoming new students at MILA.
  ☆985Updated 6 years ago
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆829Updated 4 years ago
• OATML / bdl-benchmarks
  Bayesian Deep Learning Benchmarks
  ☆667Updated last year
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆855Updated 5 years ago
• google-deepmind / graph_nets
  Build Graph Nets in Tensorflow
  ☆5,373Updated 2 years ago
• karpathy / pytorch-made
  MADE (Masked Autoencoder Density Estimation) implementation in PyTorch
  ☆546Updated 6 years ago
• robi56 / awesome-bayesian-deep-learning
  A curated list of resources dedicated to bayesian deep learning
  ☆415Updated 7 years ago
• andrewgordonwilson / bayesgan
  Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
  ☆1,014Updated 6 years ago
• google-research / disentanglement_lib
  disentanglement_lib is an open-source library for research on learning disentangled representations.
  ☆1,395Updated 3 years ago
• hollobit / All-About-the-GAN
  All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
  ☆655Updated 6 years ago
• rtqichen / ffjord
  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
  ☆635Updated 4 years ago
• joanbruna / MathsDL-spring18
  Topics course Mathematics of Deep Learning, NYU, Spring 18
  ☆540Updated last year
• EmilienDupont / augmented-neural-odes
  Pytorch implementation of Augmented Neural ODEs
  ☆536Updated 2 years ago
• madalinabuzau / tensorflow-eager-tutorials
  Simple tutorials for building neural networks with TensorFlow Eager mode.
  ☆509Updated 5 years ago
• MrGemy95 / Tensorflow-Project-Template
  A best practice for tensorflow project template architecture.
  ☆3,617Updated 2 years ago
• thu-ml / zhusuan
  A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
  ☆2,217Updated 2 years ago
• percyliang / cs229t
  Statistical Learning Theory (CS229T) Lecture Notes
  ☆719Updated 5 years ago
• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆577Updated 3 years ago
• melodyguan / enas
  TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
  ☆1,582Updated 5 years ago
• znxlwm / pytorch-generative-model-collections
  Collection of generative models in Pytorch version.
  ☆2,615Updated 4 years ago
• hwalsuklee / tensorflow-generative-model-collections
  Collection of generative models in Tensorflow
  ☆3,918Updated 2 years ago