Scala Library/REPL for Machine Learning Research.
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An evolutionary optimization library.
Edge Impulse is the development platform for machine learning on edge devices.
Deep learning operations reinvented (for pytorch, tensorflow, jax and others).
Python package which helps to debug machine learning classifiers and explain their predictions.
A simple and functional machine learning library written in Elixir.
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.
Browse research datasets and datasets related to natural.
Uncover LLM evaluation's importance and explore methods for assessing its performance and impact across industries.
Talk by Princeton professor Arvind Narayanan.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
AITV is the world's first AI streamer factory - built for creators, brands, and communities.
EvoAgentX is building a Self-Evolving Ecosystem of AI Agents, it will give you automated framework for evaluating and evolving agentic workflows.
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.