J-zin's Stars
geekan/HowToLiveLonger
程序员延寿指南 | A programmer's guide to live longer
JegZheng/CT-pytorch
Repository for conditional transport
Louis3797/awesome-readme-template
An awesome README template for your projects!
DeepGraphLearning/SPN
activatedgeek/understanding-bayesian-classification
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
tencent-ailab/DrugOOD
OOD Dataset Curator and Benchmark for AI-aided Drug Discovery
harris-chris/joint-shapley-values
Source code for the Joint Shapley values: a measure of joint feature importance
ha0ransun/Path-Auxiliary-Sampler
fulifeng/Causal_Reading_Group
We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
OATML/non-parametric-transformers
Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"
Anduin2017/HowToCook
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
oneHuster/Meta-Learning-Papers
A classified list of meta learning papers based on realm.
synercys/annotated_latex_equations
Examples of how to create colorful, annotated equations in Latex using Tikz.
cambridge-mlg/CLUE
Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
dylan-slack/Modeling-Uncertainty-Local-Explainability
Local explanations with uncertainty 💐!
iancovert/sage
For calculating global feature importance using Shapley values.
xinychen/awesome-beamer
Creating presentation slides by using Beamer in LaTeX.
jwangjie/Gaussian-Process-Regression-Tutorial
An Intuitive Tutorial to Gaussian Processes Regression
zhengqigao/PRML-Solution-Manual
My Own Solution Manual of PRML
nitarshan/bayes-by-backprop
PyTorch implementation of "Weight Uncertainty in Neural Networks"
xqding/Importance_Weighted_Autoencoders
A PyTorch Implementation of the Importance Weighted Autoencoders
akashgit/autoencoding_vi_for_topic_models
Tensorflow implementation for prodLDA and NVLDA.
ex4sperans/variational-inference-with-normalizing-flows
Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
vdumoulin/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
duvenaud/relax
Optimizing control variates for black-box gradient estimation