Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

A framework for large scale recommendation algorithms.

Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

A SapientML plugin of SapientMLGenerator

EvalML is an AutoML library written in python.

Lightning ⚡️ fast forecasting with statistical and econometric models.

Automated modeling and machine learning framework FEDOT

Fast and Accurate ML in 3 Lines of Code

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

An open source python library for automated feature engineering

Public dataset benchmarks used for measuring the performance of MindsDB.

Allows automatic gradient norm clipping. This feature can help to stabilize training in certain situations by limiting the magnitude of gradient updates. The implementation is inspired by the paper "AutoClip: Adaptive Gradient Clipping for Source Separation Networks"

Pandas Auto-Join Framework for auto joining multiple dataframes.

Benchmarks of AutoML Frameworks

Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.

An AutoML web app for training machine learning models with ease.

An open source python library for automated prediction engineering