Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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Updated
Feb 2, 2024 - HTML
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Fit interpretable models. Explain blackbox machine learning.
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Debugging, monitoring and visualization for Python Machine Learning and Data Science
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.
Interpretability and explainability of data and machine learning models
Examples of Data Science projects and Artificial Intelligence use-cases
Code, exercises and tutorials of my personal blog ! 📝
High-Performance Symbolic Regression in Python and Julia
A collection of research materials on explainable AI/ML
Generate Diverse Counterfactual Explanations for any machine learning model.
XAI - An eXplainability toolbox for machine learning
moDel Agnostic Language for Exploration and eXplanation
A collection of research papers and software related to explainability in graph machine learning.
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
User documentation for KServe.
[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
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