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Hugging Face
AI Dataset·2025
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OpenCodeInstruct

NVIDIA

Provides 5 million instruction–response pairs for supervised fine-tuning of code LLMs, with inputs, outputs, unit tests, and automated LLM judgments. Uses hybrid automated/synthetic generation and is released under CC BY 4.0 for large-scale SFT workflows.

#nvidia#huggingface#code#ai-train#ai-coding+3
GitHub
AI Client·2025
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Dyad

dyad-sh·Dyad Tech, Inc.

Builds apps locally with AI while keeping code, model choices, and deployment paths under the user’s control as a desktop alternative to hosted app builders.

#github#ai-tools#ai-client#ai-api#chatbot
GitHub
MCP Server·2025
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MCP Shrimp Task Manager

cjo4m06

Turns natural-language requirements into a dependency-aware graph of atomic, testable dev tasks for AI coding agents. Adds cross-session memory and a plan-reflect loop that forces the agent to think through each step before writing code.

#mcp#mcp-server#agent-skills#typescript#nodejs+3
GitHub
AI Agent·2025
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DroidRun

droidrun (GitHub: droidrun)·Droidrun

Lets LLM agents drive real Android and iOS devices from natural-language commands by turning each screen's accessibility tree into structured text the model reads directly, not just screenshots. LLM-agnostic; runs via CLI, Python, or Docker.

#ai-agent#llm#ai-framework#ai-tools#vision+2
GitHub
AI Video·2025
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trackers

Roboflow

Clean-room, modular implementations of multi-object tracking algorithms — SORT, ByteTrack, OC-SORT, BoT-SORT, C-BIoU — behind one interface. Detector-agnostic: works with YOLO, DETR, or any bounding-box model via supervision.Detections.

#vision#github#python#ai-tools#ai-video+1
GitHub
AI Deploy·2025
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LiteRT-LM

Google AI Edge (Google)

Run large-language and multimodal models locally on edge devices (Android, iOS, desktop, web, Raspberry Pi) with hardware acceleration, function-calling, and multi-language SDKs—designed for low-latency, privacy-sensitive on-device inference.

#google#llm#ai-inference#ai-serving#github+3
GitHub
AI Client·2025
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Gemini CLI

Google

Brings Gemini models into the terminal as an agent that reads files, runs shell commands, and edits code in place. Includes Google Search grounding, MCP server support, and a free OAuth tier (60 req/min, 1,000 req/day) with a 1M-token context window.

#gemini#gemini-cli#google#cli#ai-agent+5
GitHub
MCP Client·2025
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Awesome Claude Code

hesreallyhim

A curated index of community resources for Claude Code — skills, hooks, slash commands, agent orchestrators, and plugins. Entries live in a source-of-truth CSV that generates the README; submissions are bot-checked, then manually vetted by the maintainer.

#github#claude#mcp#ai-tools#ai-coding+3
GitHub
Embodied AI·2025
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Newton

The Newton Contributors, Disney Research +2

GPU-accelerated physics simulation engine for robotics and simulation research — built on NVIDIA Warp with MuJoCo Warp backend, offering differentiable simulation, OpenUSD support, and extensions for RL/embodied-AI workflows. ([github.com](https://github.com/newton-physics/newton))

#robotics#physics#nvidia#python#github
GitHub
AI Audio·2025
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Chatterbox TTS

Resemble AI

Open-source TTS that clones a voice from a short reference clip across 23+ languages, with adjustable emotional intensity via exaggeration/cfg controls and a built-in Perth neural watermark on every output.

#audio#github#ai-tools#pytorch#huggingface
GitHub
AI Video·2025
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V-JEPA 2 (facebookresearch/vjepa2)

Meta FAIR (facebookresearch)

Provides PyTorch code, pretrained checkpoints, and evaluation tooling for V-JEPA 2 — a Meta FAIR family of self-supervised video encoders and an action-conditioned world model. Includes training recipes, HuggingFace checkpoints, evaluation probes, and robot post‑training artifacts.

#video#pytorch#vision#foundation-model#meta-ai+5
GitHub
AI Agent·2025
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Microsoft Agent Framework

Microsoft

Builds production-grade AI agents and multi-agent workflows in .NET and Python, with graph-based orchestration for sequential, concurrent, and handoff patterns. Unifies Microsoft's Semantic Kernel and AutoGen lineages, adding durable, checkpointed runs.

#microsoft#github#agent-skills#ai-agent#python+4
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