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A set of functions to support the development of machine learning algorithms.
Version and deploy your ML models following GitOps principles.
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.
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.
A modular active learning framework for Python, built on top of scikit-learn.
Visual testing tool for MCP servers.
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.
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.
General natural language facilities for node.
Model viewer for inspecting neural network architecture files from many machine learning frameworks.
Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].
A PyTorch implementation of DeepDream.
A PyTorch implementation of Justin Johnson's neural-style (neural style transfer).
Machine learning for NeuroImaging in Python.
Natural Language processing in the browser.