sumedhachugh

sumedhachugh's Stars

• mikexcohen/DeepUnderstandingOfDeepLearning

  Python code accompanying the course "A deep understanding of deep learning (with Python intro)"

  Language:Jupyter Notebook296225

• mrdbourke/pytorch-deep-learning

  Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

  Language:Jupyter Notebook10.5k3.1k

• kdeyai/Thesis_Work

  Language:Python1

• OATML/causal-bald

  Language:Python152

• fbickfordsmith/epig

  Bayesian active learning with EPIG data acquisition

  Language:Python256

• zer0sh0t/artificial_intelligence

  ai codebase

  Language:Jupyter Notebook72

• wangshusen/DeepLearning

  Language:TeX3.7k822

• giorgiovisani/lime_stability

  Language:Jupyter Notebook3210

• dylan-slack/Fooling-LIME-SHAP

  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)

  Language:Jupyter Notebook7616

• samzabdiel/XAI

  Papers and code of Explainable AI esp. w.r.t. Image classificiation

  Language:Jupyter Notebook19427

• wangyongjie-ntu/Awesome-explainable-AI

  A collection of research materials on explainable AI/ML

  Language:Markdown1.4k189

• marcotcr/lime

  Lime: Explaining the predictions of any machine learning classifier

  Language:JavaScript11.5k1.8k

• SheffieldML/GPyOpt

  Gaussian Process Optimization using GPy

  Language:Jupyter Notebook927261

• pbiecek/xai_resources

  Interesting resources related to XAI (Explainable Artificial Intelligence)

  Language:R817138

• SK-tklab/BayesianOptimization

  Bayesian Optimization with several acquisition functions

  Language:Jupyter Notebook72

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python7.8k1.5k

• ctgk/PRML

  PRML algorithms implemented in Python

  Language:Jupyter Notebook11.4k3.3k

• jwangjie/Gaussian-Process-Regression-Tutorial

  An Intuitive Tutorial to Gaussian Processes Regression

  Language:Jupyter Notebook525105

• dgarreau/image_lime_theory

  Language:Python51

• dylan-slack/Modeling-Uncertainty-Local-Explainability

  Local explanations with uncertainty 💐!

  Language:Python3815

• adityasaini70/Applications-of-GMM-in-XAI

  Language:Jupyter Notebook1

• gerdm/prml

  Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

  Language:Jupyter Notebook2.1k488

• x-y-zhao/BayLime

  bayesian lime

  Language:HTML1612

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.6k3.3k

• JYLFamily/Interpert_Machine_Learning

  https://christophm.github.io/interpretable-ml-book/index.html

  Language:Jupyter Notebook123

• jphall663/awesome-machine-learning-interpretability

  A curated list of awesome responsible machine learning resources.

  3.6k583

• EthicalML/xai

  XAI - An eXplainability toolbox for machine learning

  Language:Python1.1k171

• 3b1b/manim

  Animation engine for explanatory math videos

  Language:Python62.9k5.8k