Models & Machine Learning

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

Python library for data-centric AI and machine learning with messy, real-world data and labels.

Remove unwanted objects from photos, people, text, and defects from any picture for free. It.

Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others.

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

A machine learning library for Clojure built on top of Weka and friends.

Interop with R and Renjin (R on the JVM).

Natural Language Processing in Clojure (opennlp).

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

Open-source library for implementing CI/CD in machine learning projects.

Cohere provides access to advanced Large Language Models and NLP tools.

Codecademy's Data Science provides machine-learning models, research, training resources, or evaluation tools.

Codeflash uses AI to automatically find the most optimized version of your Python code through benchmarking — while verifying it's correct.

A curated list of language modeling researches for code and related datasets.

Open Code LLMs for Code Understanding and Generation.

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

Documentation for Sourcegraph, the code intelligence platform.

A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.

Cohere provides access to advanced Large Language Models and NLP tools.

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

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

Creates, rewrites or summarizes written content with language models.

Track your datasets, code changes, experimentation history, and models.

Track, log, visualize and evaluate your LLM prompts and prompt chains.