Stars
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
jarvisloh / causalml
Forked from uber/causalmlUplift modeling and causal inference with machine learning algorithms
A collection of resources and papers on Diffusion Models
Uplift modeling and causal inference with machine learning algorithms
Must-read papers and resources related to causal inference and machine (deep) learning
jarvisloh / causallib
Forked from BiomedSciAI/causallibA Python package for modular causal inference analysis and model evaluations
jarvisloh / awesome-bayes
Forked from dimenwarper/awesome-bayesList of resources for bayesian inference
jarvisloh / BayesianML
For 7B18 ked from suriyadeepan/BayesianMLExperiments in Bayesian Machine Learning
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
jarvisloh / ppl-and-bayesian-methods-gen-pyro
Forked from jmuchovej/ppl-and-bayesian-methods-gen-pyroA rewrite of "Bayesian Methods for Hackers" in Pyro and Gen.jl. Still holding-fast to the "computation/understanding-first, mathematics-second" teaching paradigm - just using "more modern" libraries.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
jarvisloh / GCL
Forked from cshjin/GCLList of Publications in Graph Contrastive Learning
jarvisloh / awesome-graph-self-supervised-learning
Forked from LirongWu/awesome-graph-self-supervised-learningAwesome Graph Self-Supervised Learning
jarvisloh / PyTorch-GAN
Forked from eriklindernoren/PyTorch-GANPyTorch implementations of Generative Adversarial Networks.
jarvisloh / awesome-self-supervised-learning-for-graphs
Forked from SXKDZ/awesome-self-supervised-learning-for-graphsA curated list for awesome self-supervised learning for graphs.
jarvisloh / PyGCL
Forked from PyGCL/PyGCLPyGCL: Graph Contrastive Learning Library for PyTorch
jarvisloh / bayesian-torch
Forked from IntelLabs/bayesian-torchA library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
jarvisloh / awesome-uncertainty-deeplearning
Forked from ENSTA-U2IS-AI/awesome-uncertainty-deeplearningThis repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
An autoML framework & toolkit for machine learning on graphs.