verto.sh

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

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

Instant Kubernetes-Native Application Observability

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.

A Cloud Native Batch System (Project under CNCF)

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

The Julia Programming Language

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

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

Tensors and Dynamic neural networks in Python with strong GPU acceleration

cuML - RAPIDS Machine Learning Library

Open source annotation tool for machine learning practitioners.

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

Probabilistic reasoning and statistical analysis in TensorFlow

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.