A Julia machine learning framework.
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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 library consisting of useful tools for data science and machine learning tasks.
Open source 3D human modeling toolkit for pose estimation, mesh recovery, and research workflows.
A modular active learning framework for Python, built on top of scikit-learn.
Visual testing tool for MCP servers.
ModelFox is a platform for managing and deploying machine learning models.
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.
Montague is a semantic parsing library for Scala with an easy-to-use DSL.
Llama3 implementation one matrix multiplication at a time.
A Natural Adversarial Language Processing framework built over Tensorflow.
General natural language facilities for node.
A parallel neural net microframework.
A PyTorch implementation of Justin Johnson's neural-style (neural style transfer).
A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.
Machine learning for NeuroImaging in Python.
Natural Language processing in the browser.
An NLP library built in node over Natural, with entity extraction, sentiment analysis, automatic language identify, and so more.
A Julia package for non-negative matrix factorization.
Nn builder is a python package that lets you build neural networks in 1 line.
This package provides graphical computation for nn library in Torch7.
An open source AutoML toolkit for automate machine learning lifecycle.