fregu856 / papersLinks
I categorize, annotate and write comments for all research papers I read (500+ papers since 2018).
☆407Updated last month
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☆672Updated 2 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆631Updated 3 years ago
- Practical assignments of the Deep|Bayes summer school 2019☆833Updated 5 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆278Updated 6 years ago
- ML and DL related contests, competitions and conference challenges.☆612Updated 2 years ago
- FrancescoSaverioZuppichini / Pytorch-how-and-when-to-use-Module-Sequential-ModuleList-and-ModuleDictCode for my medium article☆373Updated 5 years ago
- A compilation of research advice.☆219Updated 4 years ago
- Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.☆133Updated 5 years ago
- ☆824Updated 7 months ago
- This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as des…☆229Updated last year
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆473Updated 2 years ago
- ☆351Updated 6 years ago
- Summaries for exciting works in the field of Deep Learning.☆354Updated 5 months ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Updated 5 years ago
- ☆260Updated 6 years ago
- repository with the lectures for MLSS Skoltech☆139Updated 6 years ago
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆315Updated 6 years ago
- PyTorch Boilerplate For Research☆607Updated 3 years ago
- List of DL topics and resources essential for cracking interviews☆452Updated 2 years ago
- Notes and summaries of various ML, Computer Vision & NLP papers.☆563Updated 3 years ago
- Papers for Bayesian-NN☆326Updated 6 years ago
- Example of a Cover letter for AI Residency☆80Updated 5 years ago
- Code snippets created for the PyTorch discussion board☆570Updated 4 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆830Updated 4 years ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆181Updated 4 years ago
- Everyday things people use in Pytorch. No need to spend hours reading Pytorch forums trying to find them!☆281Updated 4 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆244Updated 5 years ago
- Machine Learning Conference & Summer School Notes. 🦄☆573Updated 4 years ago
- PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.☆265Updated 5 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Updated 6 years ago