xuedong / machine-learning-summer-schools

Related projects ⓘ

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

• rotinov / AGNES
  Flexible Reinforcement Learning Framework with PyTorch
  ☆22Updated 4 years ago
• david-abel / rl_info_theory
  A collection of code investigating the use of information theory for abstractions in RL
  ☆16Updated 6 years ago
• nhaselow / Audio-Classification-Using-Convolutional-Neural-Networks
  Stats 479 Project
  ☆22Updated 5 years ago
• GokuMohandas / SELU
  🤖 Implementation of Self Normalizing Networks (SNN) in PyTorch.
  ☆12Updated 7 years ago
• apaszke / examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆10Updated 4 years ago
• franrruiz / uivi
  Code for Unbiased Implicit Variational Inference (UIVI)
  ☆13Updated 5 years ago
• Abhishaike / HyperProtoNetReproduce
  NeurIPS 2019 Paper Implementation
  ☆13Updated 2 years ago
• ermongroup / BiasAndGeneralization
  ☆26Updated 5 years ago
• cranmer / poisson-convolution-sum
  Implements an infinite sum of poisson-weighted convolutions
  ☆26Updated 6 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 5 years ago
• shagunsodhani / ml-logger
  Logging utility for ML experiments
  ☆16Updated 2 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 7 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆50Updated 5 years ago
• soumith / mltrain-nips-2017
  This repository contains all the material for the MLTrain NIPS workshop
  ☆10Updated 6 years ago
• alok / rl_implementations
  ☆42Updated 5 years ago
• DanielTakeshi / Self_Study_Courses
  These will be public notes for courses that I'm self-studying.
  ☆26Updated 4 years ago
• artix41 / AVO-pytorch
  Implementation of Adversarial Variational Optimization in PyTorch
  ☆43Updated 6 years ago
• CW-Huang / BayesianHypernet
  ☆17Updated 6 years ago
• floringogianu / paper-notebooks
  A collection of notebooks aiding the understanding of machine-learning papers.
  ☆10Updated 3 years ago
• RobertTLange / reading-notes-ml
  Progress, Notes, Summaries and a lot of Questions on Machine Learning
  ☆55Updated 4 years ago
• DmitryUlyanov / pytorch-in-theano
  Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).
  ☆18Updated 7 years ago
• Gananath / NERD
  Evolution of Discrete data with Reinforcement Learning
  ☆13Updated 4 years ago
• ml-retrospectives / ml-retrospectives.github.io
  ☆27Updated last year
• convnets-as-gps / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆15Updated 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
• awentzonline / pytorch-cns
  Generalized Compressed Network Search with PyTorch
  ☆26Updated 7 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 7 years ago
• JeanKossaifi / caltech-tutorial
  Material for my Caltech tutorial on deep learning and tensor methods
  ☆69Updated 6 years ago
• Zhenyu-LIAO / RMT4ELM
  A Random Matrix Approach to Extreme Learning Machine
  ☆14Updated 6 years ago
• deborausujono / crfocr
  Python implementation of Conditional Random Fields (CRF) for Optical Character Recognition (OCR)
  ☆7Updated 9 years ago