fregu856 / papersLinks
I categorize, annotate and write comments for all research papers I read (550+ papers since 2018).
☆408Updated 3 weeks ago
Alternatives and similar repositories for papers
Users that are interested in papers are comparing it to the libraries listed below
Sorting:
- Bayesian Deep Learning Benchmarks☆671Updated 2 years ago
- Practical assignments of the Deep|Bayes summer school 2019☆834Updated 5 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆639Updated 3 years ago
- A compilation of research advice.☆221Updated 4 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆277Updated 6 years ago
- This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as des…☆230Updated last year
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆478Updated 2 years ago
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆316Updated 7 years ago
- Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.☆133Updated 5 years ago
- ☆352Updated 7 years ago
- Papers for Bayesian-NN☆326Updated 6 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆247Updated 6 years ago
- ☆828Updated 9 months ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Updated 6 years ago
- FrancescoSaverioZuppichini / Pytorch-how-and-when-to-use-Module-Sequential-ModuleList-and-ModuleDictCode for my medium article☆375Updated 5 years ago
- ML and DL related contests, competitions and conference challenges.☆613Updated 2 years ago
- Example of a Cover letter for AI Residency☆81Updated 6 years ago
- Notes and summaries of various ML, Computer Vision & NLP papers.☆565Updated 3 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆838Updated 4 years ago
- Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data☆304Updated 5 years ago
- ☆472Updated last week
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Updated 3 years ago
- Building a Bayesian deep learning classifier☆493Updated 8 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Updated 6 years ago
- PyTorch Boilerplate For Research☆607Updated 4 years ago
- Everyday things people use in Pytorch. No need to spend hours reading Pytorch forums trying to find them!☆282Updated 4 years ago
- Summaries for exciting works in the field of Deep Learning.☆357Updated 8 months ago
- ☆239Updated 5 years ago
- Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"☆95Updated 2 years ago
- Quick, visual, principled introduction to pytorch code through five colab notebooks.☆459Updated last year