wgxcow

wgxcow's Stars

• apeltauer/FreeCAD

  This is the official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler

  Language:C++147

• xrayfree/free-ssr-ss-v2ray-vpn-clash

  长期免费维护数个SSR/SS/V2RAY/VPN/CLASH订阅高速节点链接！电报群：https://t.me/xrayfree

  1.1k60

• soolaugust/chatgpt-v2ray

  自动更新可用的v2ray代理地址

  191

• Harry24k/adversarial-attacks-pytorch

  PyTorch implementation of adversarial attacks [torchattacks]

  Language:Python1.9k345

• microsoft/responsible-ai-workshop

  Responsible AI Workshop: a series of tutorials & walkthroughs to illustrate how put responsible AI into practice

  Language:Jupyter Notebook318

• ucg8j/awesome-dash

  A curated list of awesome Dash (plotly) resources

  Language:Python2.1k255

• plotly/dash-sample-apps

  Open-source demos hosted on Dash Gallery

  Language:Jupyter Notebook3.1k3k

• fairlearn/fairlearn

  A Python package to assess and improve fairness of machine learning models.

  Language:Python1.9k412

• nextDeve/Depression-detect-ResNet

  depression-detect Predicting depression from AVEC2014 using ResNet18.

  Language:Python394

• ModelOriented/DALEX

  moDel Agnostic Language for Exploration and eXplanation

  Language:Python1.4k165

• BCG-X-Official/facet

  Human-explainable AI.

  Language:Jupyter Notebook50846

• datitran/face2face-demo

  pix2pix demo that learns from facial landmarks and translates this into a face

  Language:Python1.4k424

• understandable-machine-intelligence-lab/Quantus

  Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

  Language:Jupyter Notebook52674

• wangyongjie-ntu/Awesome-explainable-AI

  A collection of research materials on explainable AI/ML

  1.4k187

• EthicalML/xai

  XAI - An eXplainability toolbox for machine learning

  Language:Python1.1k169

• lopusz/awesome-interpretable-machine-learning

  Language:Python902141

• interpretml/DiCE

  Generate Diverse Counterfactual Explanations for any machine learning model.

  Language:Python1.3k185

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python10.2k1.5k

• kmario23/deep-learning-drizzle

  Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

  Language:HTML12.1k2.9k

• mertyg/debug-mistakes-cce

  Meaningfully debugging model mistakes with conceptual counterfactual explanations. ICML 2022

  Language:Python757

• csinva/imodels

  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

  Language:Jupyter Notebook1.4k122

• interpretml/gam-changer

  Editing machine learning models to reflect human knowledge and values

  Language:JavaScript12011

• MAIF/shapash

  🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

  Language:Jupyter Notebook2.7k330

• salesforce/OmniXAI

  OmniXAI: A Library for eXplainable AI

  Language:Jupyter Notebook86392

• microsoft/responsible-ai-toolbox

  Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

  Language:TypeScript1.3k347

• EthicalML/awesome-production-machine-learning

  A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

  17.3k2.2k

• Trusted-AI/AIF360

  A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

  Language:Python2.4k825

• Trusted-AI/AIX360

  Interpretability and explainability of data and machine learning models

  Language:Python1.6k305

• Trusted-AI/adversarial-robustness-toolbox

  Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

  Language:Python4.8k1.2k

• helix-toolkit/helix-toolkit

  Helix Toolkit is a collection of 3D components for .NET.

  Language:C#1.9k661