A library that builds, optimizes, and evaluates ML pipelines using domain-specific functions.
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Face recognition library that recognizes and manipulates faces from Python or from the command line.
Visualizations for understanding and analyzing machine learning datasets.
A Python package to assess and improve fairness of machine learning models.
FastEdit aims to assist developers with injecting fresh and customized knowledge into large language models efficiently using one single command.
Industrial Grade Federated Learning Framework.
Feature store for machine learning.
Feature engineering package with SKlearn like functionality.
Set of tools for creating and testing machine learning features, with a scikit-learn compatible API.
Python library for automated feature engineering.
A highly-modular C++ machine learning library for embedded electronics and robotics.
A Scala library for constructing probabilistic models.
Secure zero-knowledge encrypted file sharing (AES-256-GCM in-browser). No account required, MIT licensed, self-hostable, optional link expiry.
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.
Friendly Federated Learning Framework.
Drag & drop UI to build your customized LLM flow using LangchainJS.
Library for high performance deep learning inference on NVIDIA GPUs.
Security research toolkit for extracting, transforming, and analyzing data during investigation workflows.