Alternatives and similar repositories for DS32019

Users that are interested in DS32019 are comparing it to the libraries listed below

• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆184Updated 6 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 6 years ago
• ivannz / mlss2019-bayesian-deep-learning
  MLSS2019 Tutorial on Bayesian Deep Learning
  ☆93Updated 5 years ago
• xbresson / CE9010_2018
  Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18
  ☆52Updated 6 years ago
• leonardoaraujosantos / LearnSegmentation
  Implement most common semantic segmentation algorithms
  ☆26Updated 7 years ago
• mlss-skoltech / lectures
  repository with the lectures for MLSS Skoltech
  ☆139Updated 5 years ago
• RobRomijnders / bayes_nn
  Uncertainty interpretations of the neural network
  ☆32Updated 7 years ago
• mlss-skoltech / tutorials
  repository with the tutorials for MLSS Skoltech
  ☆66Updated 6 years ago
• YingzhenLi / Dropout_BBalpha
  Implementations of the ICML 2017 paper (with Yarin Gal)
  ☆38Updated 7 years ago
• fediazgon / pbt-keras
  Population Based Training of Neural Network implemented in Keras
  ☆35Updated 2 years ago
• faizan2786 / nalu_implementation
  This repository is created to show the Neural Arithmetic Logic Unit implementation in python using Tensorflow. The code in this repo comp…
  ☆43Updated 7 years ago
• pawni / BayesByHypernet
  Code for the paper Implicit Weight Uncertainty in Neural Networks
  ☆65Updated 5 years ago
• lilianweng / unified-gan-tensorflow
  A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.
  ☆122Updated 7 years ago
• hutec / UncertaintyNN
  Implementation and evaluation of different approaches to get uncertainty in neural networks
  ☆140Updated 7 years ago
• mihaelacr / paper-notes
  My machine learning paper notes
  ☆44Updated 8 years ago
• rflamary / OTML_DS3_2018
  Practical sessions for the Optimal Transport and Machine learning course at DS3 2018
  ☆90Updated 7 years ago
• dshieble / Tensorflow_Deep_Taylor_LRP
  Layerwise Relevance Propagation with Deep Taylor Series in TensorFlow
  ☆72Updated 8 years ago
• Ranlot / spiralNet
  Looking at the manifold hypothesis in deep learning. Creating a simple spiral dataset allows me to reveal how neural networks follow an …
  ☆22Updated 2 years ago
• DanielTakeshi / MCMC_and_Dynamics
  Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)
  ☆42Updated 5 years ago
• chrisorm / pydata-2018
  ☆64Updated 7 years ago
• bfortuner / learning_data_aug
  OpenAI Request for Research - https://blog.openai.com/requests-for-research-2/
  ☆13Updated 7 years ago
• bgavran / Improved_WGAN
  Implementation of the "Improved Training of Wasserstein GANs" paper in TensorFlow
  ☆18Updated 7 years ago
• cambridge-mlg / sghmc_dgp
  ☆29Updated 6 years ago
• JeanKossaifi / ifi-summer-school
  Slides and notebooks for the IfI Summer School 2018 on Machine Learning
  ☆36Updated 7 years ago
• bstriner / bayesian_dense
  Bayesian Weight Uncertainty Dense Layer for Keras
  ☆48Updated 8 years ago
• ispamm / kernel-activation-functions
  Several implementations of the kernel-based activation functions
  ☆63Updated 6 years ago
• didriknielsen / ds3_abi_exercises
  Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018
  ☆22Updated 7 years ago
• cgnorthcutt / hypopt
  ⏸ Parallelized hyper-param optimization with validation set, not crossval
  ☆90Updated 2 years ago
• atulshanbhag / Layerwise-Relevance-Propagation
  Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers
  ☆99Updated 7 years ago
• PGM-Lab / probai-2021-pyro
  Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)
  ☆48Updated 3 years ago