MyVibe supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Ultra-lightweight personal AI assistant framework (~4,000 lines of Python). Supports MCP, 9+ chat channels, and extensible skills system.
Local-first CLI coding agent built with React and Ink.
Napkin turns your text into visuals so sharing your ideas is quick and effective.
The source for financial, economic, and alternative datasets, serving investment professionals.
Create videos with Stable Diffusion by exploring the latent space and morphing between text prompts.
Analyzes structured data and helps produce queries, insights or visualizations.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Clojure Fast Matrix Library - GPU and native CPU.
An open-source framework by NVIDIA for building speech AI systems, including automatic speech recognition and text-to-speech. opensource.
Visualizer for neural network, deep learning and machine learning models.
Analyzes structured data and helps produce queries, insights or visualizations.
Semantic search and workflows powered by language models.
A free video series by Andrej Karpathy covering neural networks from scratch — backpropagation, makemore, GPT, and more.
A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.
TypeScript-first multi-provider AI agent framework with workflow orchestration and MCP support.
Helps find, analyze or synthesize information for research and knowledge discovery.
APIs for messaging, voice, and phone verification.
Nimblebox supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Matlab is a great language for prototyping ideas. It comes with many libraries specially for machine learning and statistics. But when….
An NLP library built in node over Natural, with entity extraction, sentiment analysis, automatic language identify, and so more.
An Easy-to-Use and High-Performance AI deployment framework.
A completely unstable and experimental package that extends Torch's builtin nn library.
The simplest way to run an LLM locally. Supports tool calling and grammar constrained sampling.