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.
- ai
- fairness-ai
- fairness
- fairness-testing
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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.
POT : Python Optimal Transport
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Gaining advanced insights from Git repository history.
Algorithms for explaining machine learning models
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Android Application Identifier for Packers, Protectors, Obfuscators and Oddities - PEiD for Android
Machine learning platform for Web developers
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Message Passing Neural Networks for Molecule Property Prediction
A collection of research papers on decision, classification and regression trees with implementations.
A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
A curated list of community detection research papers with implementations.
Interactive Go programming with Jupyter
An intuitive library to add plotting functionality to scikit-learn objects.
Curated list of open-source quantum software projects.
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
A modular active learning framework for Python
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Optax is a gradient processing and optimization library for JAX.
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.
simple neural network library in C99