MonkeyLearn provides machine-learning models, research, training resources, or evaluation tools.
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List of molecular design using Generative AI and Deep Learning.
Global, black box optimization engine for real world metric optimization by Yelp.
OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others).
ModelFox is a platform for managing and deploying machine learning models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Visual testing tool for MCP servers.
Discover open source deep learning code and pretrained models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A modular active learning framework for Python, built on top of scikit-learn.
A library consisting of useful tools for data science and machine learning tasks.
MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A scalable C++ machine learning library.
No need to keep checking your training, just one import line and you'll know the second it's done.
A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A Julia machine learning framework.
MLDB 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 set of functions to support the development of machine learning algorithms.
Friendly machine learning for the web!
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.