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github.com
Many useful features that aren't part of the main nn package.
github.com
Python library for scalable Bayesian optimisation.
github.com
Reading Wikipedia to answer open-domain questions.
github.com
High performance library for time series distances (DTW) and time series clustering.
github.com
Python library for experiment metrics logging into simply formatted local files.
github.com
Scala Library/REPL for Machine Learning Research.
github.com
An evolutionary optimization library.
edgeimpulse.com
Edge Impulse is the development platform for machine learning on edge devices.
github.com
Deep learning operations reinvented (for pytorch, tensorflow, jax and others).
github.com
Python package which helps to debug machine learning classifiers and explain their predictions.
github.com
A simple and functional machine learning library written in Elixir.
emgu.com
Cross platform wrapper of OpenCV which can be compiled in Mono to be run on Windows, Linus, Mac OS X, iOS, and Android.
github.com
Machine learning development environment for data science and AI/ML engineering teams.
github.com
A library that builds, optimizes, and evaluates ML pipelines using domain-specific functions.
lakera.ai
Uncover LLM evaluation's importance and explore methods for assessing its performance and impact across industries.
cs.princeton.edu
Talk by Princeton professor Arvind Narayanan.
github.com
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
evo.ninja
AITV is the world's first AI streamer factory - built for creators, brands, and communities.
github.com
EvoAgentX is building a Self-Evolving Ecosystem of AI Agents, it will give you automated framework for evaluating and evolving agentic workflows.
hamel.dev
Quickly understand inscrutable LLM frameworks by intercepting API calls.
github.com
Face recognition library that recognizes and manipulates faces from Python or from the command line.
github.com
Visualizations for understanding and analyzing machine learning datasets.
github.com
A Python package to assess and improve fairness of machine learning models.