Open source MLOps project that eases model handoffs between data scientist and DevOps.
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Gain control with LangGraph to design agents that reliably handle complex tasks.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
A small SDK for tools, handoffs, guardrails, tracing, and agent orchestration.
A real-time multi-person keypoint detection library for body, face, hands, and foot estimation.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
Handbook and recipes for data-driven solutions of real-world problems.
VoiceSphere AI: Streamline document handling for PDFs, DOCs, PPTs, videos, texts. Fast, precise answers. #VoiceSphereAI #AIChat #DocumentManagement.
Wiki LLM List is a Wikipedia reference page for background information, comparisons, and linked sources.
Open-source infrastructure for AI backends. Kubernetes for orchestration, Okta for identity—production-ready from day one.
From-scratch Go port of tinygrad: a graph-rewrite ML compiler with reverse-mode autodiff and a WebGPU backend.
A DeepSeek-native terminal coding agent in Rust with OS-level sandboxing, persistent goal mode, background tasks, and verification gates.
Personalized soundscapes to help you focus, relax, and sleep. Backed by neuroscience.
An offline recommender system backend based on collaborative filtering written in Go.
Run LLM backends, APIs, frontends, and services with one command.
Julia-language backend combined with the Jupyter interactive environment.
AI-powered design tools including image generation, background removal, and creative templates.
It implemented multi-perceptrons neural network (ニューラルネットワーク) based on Back Propagation Neural Networks (BPN) and designed unlimited-hidden-layers.
A free video series by Andrej Karpathy covering neural networks from scratch — backpropagation, makemore, GPT, and more.
An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3).
Cleansing, pre-processing, feature engineering, exploratory data analysis and easy ML with PySpark backend.
A platform that lets people ask questions, get instant answers, and have back-and-forth conversations with a wide variety of AI-powered bots.
Automatic "Differentiation" via Text, using large language models to backpropagate textual gradients.
Assemble, configure, and deploy autonomous AI Agents in your browser.