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Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

Data manipulation and transformation for audio signal processing, powered by PyTorch

AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓，同时包含工作和科研过程中的新想法、新问题、新资源与新项目

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

Sequential model-based optimization with a `scipy.optimize` interface

A library for debugging/inspecting machine learning classifiers and explaining their predictions

🧠 AI-powered enterprise search engine 🔎

Learning to Rank in TensorFlow

Microsoft Distributed Machine Learning Toolkit

Control Any Computer Using LLMs.

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

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.

🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai

Machine learning platform for Web developers

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

Turn any computer or edge device into a command center for your computer vision projects.

Machine learning metrics for distributed, scalable PyTorch applications.

Python library for portfolio optimization built on top of scikit-learn

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

SDG is a specialized framework designed to generate high-quality structured tabular data.

An intuitive library to add plotting functionality to scikit-learn objects.

Machine Learning Journal for Intermediate to Advanced Topics.

A modular active learning framework for Python

Optax is a gradient processing and optimization library for JAX.

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

Label, clean and enrich text datasets with LLMs.

Source-to-Source Debuggable Derivatives in Pure Python