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GitHub
AI Audio·2025
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Magenta RealTime 2

Magenta (Google)

A toolkit and open-weights system for real-time streaming music generation — offers two model sizes (230M / 2.4B), a Python inference library (JAX/MLX), and a C++ engine optimized for Apple Silicon for embedding into DAWs and apps; real-time streaming requires M‑series chips.

#audio#huggingface#google#python#ai-inference+3
GitHub
AI Client·2025
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LangExtract

Google

Extracts structured data from unstructured text with LLMs, mapping every extraction to its exact character span in the source for visual review. Uses few-shot examples, schema enforcement, and multi-pass chunking to handle long documents.

#google#gemini#ollama#openai#python+4
GitHub
MCP Server·2025
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Google Analytics MCP Server

Google Analytics, Google

Exposes Google Analytics Admin and Data APIs as a local Model Context Protocol (MCP) server so LLMs can query accounts, run reports, funnels and realtime queries via standardized MCP tools. Intended for local prototypes and developer integrations; requires Google Cloud credentials.

#mcp#mcp-server#gemini#gemini-cli#python+3
GitHub
AI Agent·2025
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A2UI: Agent-to-User Interface

Google

Lets AI agents describe interactive UIs as declarative JSON instead of executable code; client apps render the components with native widgets from a pre-approved catalog, keeping agent-generated UI safe across trust boundaries.

#google#github#ai-agent#ai-client#ai-tools+5
AI Video Papers·2025
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Video models are zero-shot learners and reasoners

Thaddäus Wiedemer, Yuxuan Li +7·Google DeepMind

Argues a single web-scale generative video model handles vision tasks zero-shot the way LLMs handle language. Probes Veo 3 on segmentation, edge detection, image editing, physical and affordance reasoning, and puzzles like maze solving and symmetry.

#video#vision#LLM#paper#ai-video+3
AI Agent·2025
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Google Antigravity

Google Antigravity Team·Google

Agent-first development platform: spawn autonomous agents that plan, edit, run terminals, and drive a browser to verify their own work, returning reviewable artifacts like plans and screenshots. Defaults to Gemini 3 Pro; also runs Claude and GPT-OSS.

#google#gemini#ai-agent#agent-skills#vibe-coding+3
GitHub
AI Image·2025
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Reverse-Engineering SynthID

Alosh Denny

Detects and surgically removes Google's SynthID watermark from images using multi-resolution spectral analysis and a resolution-aware codebook; provides a V3 bypass with high PSNR and strong phase-coherence reduction. Research-focused and intended for analysis/defense, not misrepresentation.

#gemini#ai-image#ai-tools#python#huggingface+4
GitHub
MCP Server·2026
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Stitch Agent Skills

google-labs-code (Google Labs Code)

Installs modular Agent Skills for the Stitch MCP server to expose Stitch-powered design and coding capabilities to coding agents. Includes CLI discovery/installation, UI-to-React conversion, design-system synthesis, multi-page site generation, and Remotion video export.

#agent-skills#mcp#mcp-server#ai-agent#ai-coding+2
Hugging Face
AI Dataset·2026
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Waxal NLP Datasets

Google Research, Makerere University +6

Provides open ASR and TTS speech data for 24 Sub‑Saharan African languages to train and evaluate speech models. Includes ~1,250 hours of transcribed ASR and ~235 hours of single‑speaker TTS with train/validation/test/unlabeled splits and mixed CC-BY licenses.

#multilingual#audio#speech#ASR#tts+3
Hugging Face
AI Model·2026
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google/gemma-4-E4B-it

Google DeepMind

An instruction‑tuned Gemma 4 E4B multimodal model on Hugging Face that accepts text, images and audio and generates text; notable for 128K long context support, built-in thinking mode, and an on‑device‑friendly E4B architecture under an Apache‑2.0 license.

#deepmind#google#transformers#huggingface#multimodal+5
Hugging Face
AI Model·2026
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google/gemma-4-31B-it

Google DeepMind

Instruction-tuned Gemma 4 31B multimodal model that generates text from text+image inputs with up to 256K context. Dense 31B variant optimized for vision-language understanding, long-context reasoning, and coding; Apache‑2.0 licensed.

#deepmind#google#huggingface#foundation-model#vision+3
Hugging Face
AI Model·2026
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Gemma 4 26B A4B (google/gemma-4-26B-A4B-it)

Google DeepMind

Instruction-tuned Mixture-of-Experts multimodal model that generates text from text+image inputs while activating a 4B subset of parameters for faster inference; supports a 256K context window, multilingual vision-language tasks, and is available under Apache-2.0.

#deepmind#google#huggingface#multimodal#vision+4
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