An open source machine learning framework in Rust Δ.
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Authors: Cal.com core team,, Ted Spare.
Deep learning in Rust, with shape checked tensors and neural networks.
. Practical AI engineering and generative AI explained simply: RAG, agents, and LLM application patterns for builders.
The Deep Learning GPU Training System (DIGITS) is a web application for training deep learning models.
A deep learning-based translation library between 50 languages, built with transformers.
DLib has C++ and Python interfaces for face detection and training general object detectors.
DocketAI — built on Replit. Update this description to reflect the app.
Free AI domain generator with availability check and price comparison.
Shared knowledge makes agents faster and more reliable.
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.
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.
Scala Library/REPL for Machine Learning Research.
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.