jcc1118's Stars
cen6667/408
408学习资料和课程笔记(非考研)数据结构、操作系统、计算机网络、计算机组成原理
CodePanda66/CSPostgraduate-408
💯 CSPostgraduate 计算机考研 408 专业课资料及真题资源
shuhongfan/TyporaCrack
Typora V1.6.7 Typora Crack Typora破解 Typora 激活 Typora activation MD Markdown editor 激活
amusi/Deep-Learning-Interview-Book
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
GitDzreal93/awesome-tester
测试开发各种资源汇总
Li-ZK/DCFSL-2021
Deep Cross-domain Few-shot Learning for Hyperspectral Image Classification
LeetCode-OpenSource/vscode-leetcode
Solve LeetCode problems in VS Code
nktoan/Causal-Inference-via-Style-Transfer-for-OOD-Generalisation
This repository contains the codebase for our accepted paper in the Research Track of KDD'23, titled 'Causal-Inference-via-Style-Transfer-for-OOD-Generalisation'.
Zi-YuanYang/CCNet
Code of ”Comprehensive Competition Mechanism in Palmprint Recognition“ (Accepted by IEEE TIFS)
20201422/Online-Palmprint-Identification
Online Palmprint Identification论文复现
farazmah/dragonnet-pytorch
pytorch implementation of dragonnet
rafaelpalmerio/causal_forest
BiomedSciAI/causallib
A Python package for modular causal inference analysis and model evaluations
pochih/CBIR
🏞 A content-based image retrieval (CBIR) system
amzn/credence-to-causal-estimation
A framework for generating complex and realistic datasets for use in evaluating causal inference methods.
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
vcbcmf/vcbcmf
Code for heterogeneous mediation using varying coefficient BART models
grf-labs/grf
Generalized Random Forests
susanathey/causalTree
Working repository for Causal Tree and extensions
EternityZY/CCHMM
This is the official release code of AAAI2023 accepted paper: "Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction"
Osier-Yi/SITE
azouaoui-cv/BSTATS
MVA Biostatistics class project on Learning Representations for Counterfactual Inference (https://arxiv.org/abs/1605.03661)
lightlightdyy/Deep-Learning-and-Causal-Inference
583/machine_learning_notebook
机器学习纯算法实现。持续更新
tonylins/pytorch-mobilenet-v2
A PyTorch implementation of MobileNet V2 architecture and pretrained model.
WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
Jack-Cherish/Machine-Learning
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
zhanghuanhao/LibrarySystem
基于SSM的图书馆管理系统。主要功能包括:图书查询、图书管理、图书编辑、读者管理、图书的借阅与归还以及借还日志记录等。