#machine-learning

A python library for user-friendly forecasting and anomaly detection on time series.

The AI search platform

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

Scalable machine 🤖 learning for time series forecasting.

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

Accessible large language models via k-bit quantization for PyTorch.

🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs

Structured Outputs

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

A retargetable MLIR-based machine learning compiler and runtime toolkit.

Pretrained model hub for Keras 3.

A python library for self-supervised learning on images.

Low-code framework for building custom LLMs, neural networks, and other AI models

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

A community-supported supercharged document management system: scan, index and archive all your documents

We write your reusable computer vision tools. 💜

sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.

Synthetic data generation for tabular data

A set of tools that gives agents powerful capabilities.

Efficiently computes derivatives of NumPy code.

Machine learning metrics for distributed, scalable PyTorch applications.

Automated Machine Learning pipelines. Builds the Open Short Term Energy Forecasting package.

Interactively explore unstructured datasets from your dataframe.

Probabilistic time series modeling in Python

Machine learning on FPGAs using HLS

Use Hugging Face with JavaScript

Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.