Models & Machine Learning

Feature Stores for ML provides machine-learning models, research, training resources, or evaluation tools.

Set of tools for creating and testing machine learning features, with a scikit-learn compatible API.

Python library for automated feature engineering.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Python distributed computing library for modern computer clusters.

Fiddler provides machine-learning models, research, training resources, or evaluation tools.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

A highly-modular C++ machine learning library for embedded electronics and robotics.

A Scala library for constructing probabilistic models.

Figure is the first-of-its-kind AI robotics company bringing a general purpose humanoid to life.

FigureLabs provides machine-learning models, research, training resources, or evaluation tools.

Secure zero-knowledge encrypted file sharing (AES-256-GCM in-browser). No account required, MIT licensed, self-hostable, optional link expiry.

Using AI, FinChat generates answers to questions about public companies and investors.

PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.

Ignite your models into blazing-fast machine learning APIs with a modern framework.

Finds accurate ML models automatically, efficiently and economically.

Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.).

Running large language models on a single GPU for throughput-oriented scenarios. (Archived).

Easy-to-use and flexible AutoML library for Python.

This basically to gauge the understanding of Machine Learning Workflow and Regression technique in specific.

Floode provides machine-learning models, research, training resources, or evaluation tools.

Friendly Federated Learning Framework.

Drag & drop UI to build your customized LLM flow using LangchainJS.