A simple and functional machine learning library written in Elixir.
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Cross platform wrapper of OpenCV which can be compiled in Mono to be run on Windows, Linus, Mac OS X, iOS, and Android.
Machine learning development environment for data science and AI/ML engineering teams.
A library that builds, optimizes, and evaluates ML pipelines using domain-specific functions.
Uncover LLM evaluation's importance and explore methods for assessing its performance and impact across industries.
Talk by Princeton professor Arvind Narayanan.
AITV is the world's first AI streamer factory - built for creators, brands, and communities.
Quickly understand inscrutable LLM frameworks by intercepting API calls.
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.
Falcon LLM is a generative large language model (LLM) that helps advance applications and use cases to future-proof our world.
Making neural nets uncool again, focused on making deep learning more accessible.
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.
Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.
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.
Python distributed computing library for modern computer clusters.
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.