Neural network inference from the command line, implemented in CHICKEN Scheme.
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A graph sampling extension library for NetworkX with a Scikit-Learn like API.
A header-only C++11 Neural Network library. Low dependency, native traditional chinese document.
Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Ncnn is a high-performance neural network inference framework optimized for the mobile platform.
A parallel neural net microframework.
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Named-entity recognition using neural networks providing state-of-the-art-results.
Neuroph is lightweight Java neural network framework.
Nn builder is a python package that lets you build neural networks in 1 line.
Compiler technology to transform a valid Open Neural Network Exchange (ONNX) graph into code that implements the graph with minimum runtime support.
Open-source platform for building AI agent networks with multi-protocol support (WebSocket, gRPC, HTTP, MCP, A2A). opensource.
Graph Neural Network Library for PyTorch.
Example of how the neural network learns to predict the angle between two points created with Synaptic.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
For anyone who wants to discover computer science, because it is cool!
Open-source DMS (data management system) for powering data hubs and data portals.
Open-source version control system for Data Science and Machine Learning projects. Git-like experience to organize your data, models, and experiments.
Data Engineering Podcast applies AI to data analysis, extraction, visualization, or business intelligence.
Data-Magnum applies AI to data analysis, extraction, visualization, or business intelligence.
How to Become a Data Scientist applies AI to data analysis, extraction, visualization, or business intelligence.
Learn JS Data applies AI to data analysis, extraction, visualization, or business intelligence.