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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

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.

Machine learning metrics for distributed, scalable PyTorch applications.

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

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

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

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

the terminal client for LLMs

Machine Learning Journal for Intermediate to Advanced Topics.

A modular active learning framework for Python

Label, clean and enrich text datasets with LLMs.

Source-to-Source Debuggable Derivatives in Pure Python

Optax is a gradient processing and optimization library for JAX.

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

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

A Python package to assess and improve fairness of machine learning models.

Feature engineering and selection open-source Python library compatible with sklearn.

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

An open source library and framework for deep learning on satellite and aerial imagery.

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

TFX is an end-to-end platform for deploying production ML pipelines

A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

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