Alternatives and similar repositories for machine-learning-summer-schools

Users that are interested in machine-learning-summer-schools are comparing it to the libraries listed below

• david-abel / rl_info_theory
  A collection of code investigating the use of information theory for abstractions in RL
  ☆16Updated 7 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 6 years ago
• rotinov / AGNES
  Flexible Reinforcement Learning Framework with PyTorch
  ☆22Updated 5 years ago
• DanielTakeshi / Interview_Practice
  Practice for coding interviews.
  ☆36Updated 5 years ago
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 6 years ago
• seba-1511 / randopt
  Streamlined machine learning experiment management.
  ☆107Updated 5 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆192Updated 2 years ago
• erlendd / Neighborhood-Components-Analysis-in-Python
  A Python gradient-descent implementation of the Neighborhood Components Analysis (NCA) method for metric learning.
  ☆15Updated 8 years ago
• floringogianu / paper-notebooks
  A collection of notebooks aiding the understanding of machine-learning papers.
  ☆10Updated 4 years ago
• chrisorm / pydata-2018
  ☆64Updated 7 years ago
• franrruiz / uivi
  Code for Unbiased Implicit Variational Inference (UIVI)
  ☆14Updated 6 years ago
• cranmer / poisson-convolution-sum
  Implements an infinite sum of poisson-weighted convolutions
  ☆27Updated 7 years ago
• joanbruna / ir18
  Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18
  ☆68Updated 6 years ago
• JeanKossaifi / caltech-tutorial
  Material for my Caltech tutorial on deep learning and tensor methods
  ☆70Updated 7 years ago
• kevinzakka / learn-linalg
  Learning some numerical linear algebra.
  ☆71Updated 4 years ago
• DanielTakeshi / MCMC_and_Dynamics
  Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)
  ☆42Updated 5 years ago
• ofirnachum / models
  Models built with TensorFlow
  ☆26Updated 6 years ago
• Feryal / rl_mlss_2020
  ☆53Updated 5 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆61Updated 5 years ago
• inferno-pytorch / speedrun
  Research code need not be ugly.
  ☆77Updated 2 years ago
• zuoxingdong / ML-LaTeX-Shortcuts
  A collection of LaTeX shortcuts for commonly used mathematical expressions in machine learning.
  ☆58Updated 6 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆51Updated 6 years ago
• Tgaaly / pytorch-cheatsheet
  Pytorch Cheatsheet
  ☆91Updated 7 years ago
• leonardoaraujosantos / LearnSegmentation
  Implement most common semantic segmentation algorithms
  ☆26Updated 8 years ago
• nhaselow / Audio-Classification-Using-Convolutional-Neural-Networks
  Stats 479 Project
  ☆22Updated 6 years ago
• yngtdd / hyperspace
  Distributed Bayesian Optimization
  ☆23Updated 5 years ago
• RuiShu / tensorsketch
  A lightweight library for tensorflow 2.0
  ☆66Updated 5 years ago
• baldassarreFe / zalando-pytorch
  Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando
  ☆31Updated 8 years ago
• ondrejbiza / bandits
  Comparison of bandit algorithms from the Reinforcement Learning bible.
  ☆17Updated 7 years ago