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Many useful features that aren't part of the main nn package.
Python library for scalable Bayesian optimisation.
Reading Wikipedia to answer open-domain questions.
High performance library for time series distances (DTW) and time series clustering.
Design and Deploy Large Language Model Apps.
Open-source version control system for Data Science and Machine Learning projects. Git-like experience to organize your data, models, and experiments.
Python library for experiment metrics logging into simply formatted local files.
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.
Elicit is an AI tool or resource for chat, research, automation, media generation, or model development.
A simple and functional machine learning library written in Elixir.
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.
Quickly understand inscrutable LLM frameworks by intercepting API calls.
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.
Industrial Grade Federated Learning Framework.