An open-source platform for tracking ML experiments, evaluating models and prompts, deploying models, and adding LLM observability. opensource.
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Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.
A Julia machine learning framework.
A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.
No need to keep checking your training, just one import line and you'll know the second it's done.
A scalable C++ machine learning library.
MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.
A library consisting of useful tools for data science and machine learning tasks.
MMDeploy supports machine learning models, deployment, inspection, datasets, or AI development workflows.
A modular active learning framework for Python, built on top of scikit-learn.
Discover open source deep learning code and pretrained models.
Visual testing tool for MCP servers.
ModelFox is a platform for managing and deploying machine learning models.
Models.dev supports machine learning models, deployment, inspection, datasets, or AI development workflows.
OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others).
Global, black box optimization engine for real world metric optimization by Yelp.
List of molecular design using Generative AI and Deep Learning.
Montague is a semantic parsing library for Scala with an easy-to-use DSL.
Close your Morpher positions on Base during the wind-down. Settle at a locked final price and reclaim your MPH.
A flexible and efficient library for deep learning.
Creates, rewrites or summarizes written content with language models.
CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.
Llama3 implementation one matrix multiplication at a time.
A Natural Adversarial Language Processing framework built over Tensorflow.