caihuaiguang's Stars
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
google-deepmind/pysc2
StarCraft II Learning Environment
hijkzzz/Awesome-LLM-Strawberry
A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.
datawhalechina/fun-rec
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
wzhe06/Ad-papers
Papers on Computational Advertising
AI4Finance-Foundation/ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
wnzhang/rtb-papers
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
frgfm/torch-cam
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
Jack-Cherish/quantitative
量化交易:python3
wangyuGithub01/Machine_Learning_Resources
:fish::fish::fish: 机器学习面试复习资源
amiratag/DataShapley
Data Shapley: Equitable Valuation of Data for Machine Learning
oxwhirl/smacv2
cyanrain7/TRPO-in-MARL
MadryLab/trak
A fast, effective data attribution method for neural networks in PyTorch
ykwon0407/WeightedSHAP
WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
daviddao/awesome-data-valuation
💱 A curated list of data valuation (DV) to design your next data marketplace
alinlab/LfF
Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)
decile-team/submodlib
Summarize Massive Datasets using Submodular Optimization
opendataval/opendataval
OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
zjunet/DropMessage
The implementation for DropMessage.
TRAIS-Lab/dattri
`dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.
EaseOnway/Explainable-Causal-Reinforcement-Learning
Explainable Causal Reinforcement Learning with attention
anshuman23/InfDataSel
Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selection (ICLR 2024 ORAL)
Jiachen-T-Wang/data-banzhaf
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning (AISTATS 2023 Oral)
liumy2010/LiteEFG
Python library for solving Extensive-form Games and implementation of various baseline algorithms
ElisaNguyen/bayesian-tda
Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"
rpSebastian/PDCFRPlus
Code for "Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent", IJCAI 2024 (Oral)
gumityolcu/DualView
Source code for the paper DualView: Data Attribution from the Dual Perspective
MaximeSzymanski/PPO
Simple PPO implementation