ImgStudio is a NextJS web app designed for easy deployment and user-friendly experience, streamlining access to the power of Google's GenAI model Imagen & Veo to generate powerful images & videos 🔥
google-deepmind 开源项目推荐(63 个)
google-deepmind 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 63 个仓库Universal API client for common AI models
来自热门聊天机器人如ChatGPT、Claude和Gemini的全新系统提示词
Gemma 4 31B Abliterated — quality-preserving guardrail removal for Google's most capable open model. Apache 2.0. Runs on Apple Silicon via MLX.
self-attention neural torch ansatz for electronic structure calculations introduced in the paper “A Self-attention Ansatz for ab initio Quantum Chemistry” from Google Deep Mind.
Multi-agent skill for Claude Code that delegates tasks to Google Antigravity CLI — web search, image gen, codebase analysis, 40+ science databases
每日追踪前沿 AI 实验室论文、模型卡、系统卡和技术报告
🛠️ 发现并探索一系列系统提示和消息,有助于更好地理解和开发实践。
Python wrapper for Veo 4 API by Google DeepMind — native 4K AI video with integrated audio, character consistency & advanced camera controls.
This catalogue currently covers 126 major Google AI services, tools, experiments, and features across all categories.
Screen-aware desktop agent that turns voice, screenshots, docs, and current context into live Gemma 4 + Cerebras task graphs.
Fine-tune MedGemma-1.5-4B-it (via QLoRA) to output polygon coordinates for tracing the cardiac chambers on echocardiographic frames. More info at: https://discuss.ai.google.dev/t/atria-echotrace-fine-tuning-medgemma-1-5-for-polygon-based-heart-structure-contouring/172907 and https://atria.theadimension.com/
3-Tier hybrid AI router that orchestrates FunctionGemma-270M on-device and Gemini 2.5 Flash Lite in the cloud for 99% function-calling accuracy at 548ms avg latency. Built at the Cactus × Google DeepMind Hackathon.
🎬 Google Veo 3 API & SDK — Cheapest Veo API for text-to-video & image-to-video. Veo 3 / Veo 3.1 / Veo 3 Fast supported. Python & Node.js SDK. Up to 50% OFF!
Gemini 4 Argon Cookbook — 1M Context Continuation, Deep Reasoning Thought Signatures & Interactive 3D WebGL Studio — by Robina Mirbahar
Google's New 500MB 4-Modality AI That Runs on Phones! (EmbeddingGemma 2 Review) - On-device 740M multimodal embedding model for semantic search, codebase indexing, and cross-modal media retrieval.
Uses a Pretrained Network (using Google's Deepmind) to generate images.
Implemented a Physics-Informed Graph Neural Network (GNN) inspired by Google DeepMind’s research to simulate particle dynamics with high accuracy (96.2%). The model leverages PyTorch, GNNs, and transfer learning to capture complex physical interactions in particle systems using graph-based representations.
Experimental SynthID image watermark removal
Run Google DeepMind's Gemma open models on TPU with the official JAX/Flax library. A working Colab notebook for inference and fine-tuning.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/google-deepmind。
- 该话题在 GitHub 上共有 63 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 289 Star,覆盖 7 种主要语言,数据更新于 2026-11-09。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。