A modular active learning framework for Python, built on top of scikit-learn.
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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 parallel neural net microframework.
A PyTorch implementation of Justin Johnson's neural-style (neural style transfer).
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.
An open source AutoML toolkit for automate machine learning lifecycle.
Open-source module for running AI workloads on Kubernetes in an optimized way.
Reference implementations of ML models written in numpy.
Free open-source SPSS alternative — menu-driven desktop statistics (t-tests, ANOVA, regression, survival analysis, ROC) with SPSS.sav import/export.
React Native app for running LLMs, vision models, and Stable Diffusion on-device on iOS and Android without internet access. opensource.
A general statistics and machine learning library.