verto.sh

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

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

Deep universal probabilistic programming with Python and PyTorch

Open source platform for the machine learning lifecycle

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Streamlit — A faster way to build and share data apps.

🦉 Data Versioning and ML Experiments

A Cloud Native Batch System (Project under CNCF)

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.

Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

Probabilistic reasoning and statistical analysis in TensorFlow

cuML - RAPIDS Machine Learning Library

AI + Data, online. https://vespa.ai

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow