Algorithms for explaining machine learning models
- machine-learning
- explanations
- interpretability
- counterfactual
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Algorithms for explaining machine learning models
xlsx generation with charts, images, automated column width, customizable styles and full schema validation. Axlsx excels at helping you generate beautiful Office Open XML Spreadsheet documents without having to understand the entire ECMA specification. Check out the README for some examples of how easy it is. Best of all, you can validate your xlsx file before serialization so you know for sure that anything generated is going to load on your client's machine.
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.
An open coding agent for your terminal, built by a community collective rather than a company. Bring your own model, keep your code on your machine, and owe nothing to anyone.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Message Passing Neural Networks for Molecule Property Prediction
All PHP functions, rewritten to throw exceptions instead of returning false
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.
An open-source framework for machine learning and other computations on decentralized data.
Interactive Go programming with Jupyter
An intuitive library to add plotting functionality to scikit-learn objects.
A machine translation reading list maintained by Tsinghua Natural Language Processing Group
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