Track, log, visualize and evaluate your LLM prompts and prompt chains.
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Recently added to the directory, including catalogue imports and creator submissions.
Track your datasets, code changes, experimentation history, and models.
Creates, rewrites or summarizes written content with language models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Colab demo provides machine-learning models, research, training resources, or evaluation tools.
Cohere provides access to advanced Large Language Models and NLP tools.
A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.
Documentation for Sourcegraph, the code intelligence platform.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open Code LLMs for Code Understanding and Generation.
A curated list of language modeling researches for code and related datasets.
Codeflash uses AI to automatically find the most optimized version of your Python code through benchmarking — while verifying it's correct.
Codecademy's Data Science provides machine-learning models, research, training resources, or evaluation tools.
Cohere provides access to advanced Large Language Models and NLP tools.
Open-source library for implementing CI/CD in machine learning projects.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Natural Language Processing in Clojure (opennlp).
Interop with R and Renjin (R on the JVM).
A machine learning library for Clojure built on top of Weka and friends.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others.
Remove unwanted objects from photos, people, text, and defects from any picture for free. It.
Python library for data-centric AI and machine learning with messy, real-world data and labels.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.