fregu856 / papers

Related projects ⓘ

Alternatives and complementary repositories for papers

• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆272Updated 5 years ago
• OATML / bdl-benchmarks
  Bayesian Deep Learning Benchmarks
  ☆663Updated last year
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆827Updated 4 years ago
• wjmaddox / swa_gaussian
  Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
  ☆453Updated last year
• AlaaLab / deep-learning-uncertainty
  Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…
  ☆612Updated 2 years ago
• TheShadow29 / research-advice-list
  A compilation of research advice.
  ☆215Updated 3 years ago
• ivannz / mlss2019-bayesian-deep-learning
  MLSS2019 Tutorial on Bayesian Deep Learning
  ☆90Updated 4 years ago
• sjhwang82 / AdvancedML
  Reading list for the Advanced Machine Learning Course
  ☆367Updated last year
• ssydasheng / Bayesian_neural_network_papers
  Papers for Bayesian-NN
  ☆315Updated 5 years ago
• deepgenerativemodels / notes
  Course notes
  ☆624Updated 7 months ago
• matthewvowels1 / Awesome-VAEs
  A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
  ☆788Updated 3 years ago
• craffel / dl3d-seminar
  Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data
  ☆302Updated 4 years ago
• moemen95 / Pytorch-Project-Template
  A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
  ☆872Updated last year
• EmilienDupont / augmented-neural-odes
  Pytorch implementation of Augmented Neural ODEs
  ☆532Updated last year
• FrancescoSaverioZuppichini / Pytorch-how-and-when-to-use-Module-Sequential-ModuleList-and-ModuleDict
  Code for my medium article
  ☆361Updated 4 years ago
• joanbruna / MathsDL-spring18
  Topics course Mathematics of Deep Learning, NYU, Spring 18
  ☆538Updated last year
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆846Updated 4 years ago
• mattiasegu / uncertainty_estimation_deep_learning
  This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as des…
  ☆223Updated 3 months ago
• izmailovpavel / understandingbdl
  ☆235Updated last year
• rll / deepul
  ☆766Updated 8 months ago
• mortezamg63 / Accessing-and-modifying-different-layers-of-a-pretrained-model-in-pytorch
  ☆351Updated 5 years ago
• EmilienDupont / neural-processes
  Pytorch implementation of Neural Processes for functions and images
  ☆225Updated 2 years ago
• team-approx-bayes / dl-with-bayes
  Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
  ☆242Updated 4 years ago
• rishabhk108 / AdvancedOptML
  CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
  ☆174Updated 3 years ago
• yassouali / ML-paper-notes
  Notes and summaries of various ML, Computer Vision & NLP papers.
  ☆561Updated 2 years ago
• ptrblck / pytorch_misc
  Code snippets created for the PyTorch discussion board
  ☆545Updated 3 years ago
• bamos / thesis
  Differentiable Optimization-Based Modeling for Machine Learning
  ☆326Updated 5 years ago
• hassony2 / useful-computer-vision-phd-resources
  Lists of resources useful for my PhD in computer vision
  ☆545Updated 2 years ago
• mlss-skoltech / lectures
  repository with the lectures for MLSS Skoltech
  ☆140Updated 5 years ago
• skrish13 / ml-contests-conf
  ML and DL related contests, competitions and conference challenges.
  ☆600Updated last year