aima-java
Java implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
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Java implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
OBS plugin for local speech recognition and captioning using AI
High-performance OpenAI and Anthropic compatible LLM inference server for Apple Silicon. Native MLX, continuous batching, multimodal models, MCP tool calling, and Claude Code support.
A short-video generation workstation combining content planning, automatic AI copywriting, batch TTS voiceover, AI image material synthesis, ASR-based subtitle extraction, and free-form AI creation, making it easy to manage each video project.
Self-hosted YouTube Music downloader. Tags, organizes, and keeps playlists in sync.
A library for differentiable robotics on manifolds.
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
A feature-rich TUI client for Discord
Unified Training of Universal Time Series Forecasting Transformers
High-quality implementations of standard and SOTA methods on a variety of tasks.
Run Coding Agents in Sandboxes. Control Them Over HTTP. Supports Claude Code, Codex, OpenCode, and Amp.
ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.
An Open Source package that allows video game creators, AI researchers and hobbyists the opportunity to learn complex behaviors for their Non Player Characters or agents
Kotlin wrappers for popular JavaScript libraries. Kotlin Wrappers This repository hosts a number of Kotlin wrappers for popular JavaScript libraries.
🔌 Plug-and-play library to enable agents to call MCP and UTCP tools via code execution.
What's in your data? Extract schema, statistics and entities from datasets
An open-source, self-hosted WeChat bot platform with an app marketplace. Supports Lark, Slack, Discord, DingTalk, GitHub, Notion and 20+ apps, AI tools, and SDKs in 7 languages.
An open-source AI platform for knowledge work. Connect your apps, find answers, and get work done.
Brevitas: neural network quantization in PyTorch
Captures your web app's complete development timeline - server logs, browser events, console messages, network requests, and automatic screenshots - in a unified, timestamped feed for AI debugging.