Highlights
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A Toolbox for the Evaluation of machine learning Explanations
Framework for building and orchestrating agentic AI applications—fast, scalable, and enterprise-ready. With flow-based execution, built-in memory and state management, it enables resilient, tool-us…
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
Tensor computation with WebGPU acceleration
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Visualizer for neural network, deep learning and machine learning models
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
Open standard for machine learning interoperability
A retargetable MLIR-based machine learning compiler and runtime toolkit.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
Understand machine learning models with Contribution-Value plots
A library to parse and convert PMML models into Scikit-learn estimators.
This is a benchmark to evaluate machine learning local explanaitons quality generated from any explainer for text and image data
Hackable and optimized Transformers building blocks, supporting a composable construction.
Red is a next-generation programming language strongly inspired by Rebol, but with a broader field of usage thanks to its native-code compiler, from system programming to high-level scripting and c…
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
LASER multilingual sentence embeddings as a pip package
A General Toolbox for Identifying Object Detection Errors
Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems
PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Automatic headphone equalization from frequency responses