Models & Machine Learning

The elegant machine learning library.

Open source, high performance fine tuning as a service for GPT4 quality models with 5x lower latency and 3x lower cost.

FoLiA format provides machine-learning models, research, training resources, or evaluation tools.

FontVibe provides machine-learning models, research, training resources, or evaluation tools.

Forefront provides machine-learning models, research, training resources, or evaluation tools.

Library for high performance deep learning inference on NVIDIA GPUs.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.

An open source Python library for drift detection in machine learning systems.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Unsupervised machine learning with multivariate Gaussian mixture model.

Julia package for Gaussian processes.

Creates, rewrites or summarizes written content with language models.

Creates, rewrites or summarizes written content with language models.

Generative AI Resources for Berkeley Law Faculty & Staff - Berkeley Law provides machine-learning models, research, training resources, or…

Generative AI Takes Stereotypes and Bias From Bad to Worse provides machine-learning models, research, training resources, or evaluation tools.

Generative AI: A Creative New World Sequoia Capital US/Europe provides machine-learning models, research, training resources, or evaluation tools.

A curated list of generative deep learning tools, works, models, etc. for artistic uses, by @filipecalegario.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

A Chinese segment based on Conditional Random Field.

Host inference APIs, bulk inference and fine tune text, vision, audio and multi-modal models.