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Discover the Best AI Resources

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Curated AI Resources for Everyone

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Contents

GitHub
AI API·2023
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Evolution API

EvolutionAPI

Provides a RESTful integration layer that connects WhatsApp and other messaging services to external systems; supports both Baileys (Web) and WhatsApp Cloud API, multiple third-party integrations, media storage, and Docker deployment.

#ai-api#chatbot#docker#nodejs#github+1
GitHub
AI Infra·2023
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AirLLM

Gavin Li (lyogavin)

Runs 70B-class LLM inference on a single 4GB GPU without quantization and supports Llama3.1 405B on 8GB VRAM. Uses layer-splitting and block-wise model compression (4/8-bit) to reduce disk load and can speed up inference loading by up to ~3x; integrates with Hugging Face models.

#llm#ai-inference#ai-serving#huggingface#pytorch+2
GitHub
AI Deploy·2023
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Xorbits Inference (Xinference)

Xorbits (xorbitsai)·Xorbits AI

Run any open-source LLM, embedding, speech, image, or multimodal model behind one OpenAI-compatible API — swap GPT for an open model in a single line. Routes across vLLM, llama.cpp, GGML, and TensorRT, scaling from a laptop to a multi-node GPU cluster.

#ai-serving#ai-inference#mlops#vllm#tensorrt+4
AI API·2023
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AI SDK

Vercel, Inc.

Unified TypeScript toolkit for building AI apps and agents: swap between 100+ models from OpenAI, Anthropic, Google and others by changing one line. Ships streaming, tool calling, and framework-agnostic UI hooks for React, Next.js, Vue, and Svelte.

#typescript#ai-api#nodejs#llm#ai-client+2
AI Deploy·2023
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LMDeploy

InternLM·Shanghai AI Laboratory

Compresses, deploys, and serves LLMs via two engines: TurboMind for raw speed, a PyTorch engine for flexibility. Claims ~1.8x vLLM throughput through persistent batching, blocked KV cache, and split-and-fuse; ships 4-bit AWQ and KV-cache quantization.

#llm#ai-deploy#ai-serving#ai-inference#mlops+2
GitHub
AI Client·2023
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CopilotKit

CopilotKit

Adds agent-native UI patterns to apps through chat, generative UI, shared state, human-in-the-loop flows, and AG-UI-based frontend integrations.

#copilot#github#chatbot#ai-tools#agent-skills+5
GitHub
AI Client·2023
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Chat2DB

OtterMind

AI-assisted database client that generates, explains and optimizes SQL by connecting to your own model. Local-first, cross-platform GUI with metadata browsing, dashboards, 30+ database connectors, and an open-source CLI for automation.

#ai-client#mcp-client#mysql#postgres#sqlite+6
GitHub
AI Image·2023
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Generative Models by Stability AI

Stability AI

Reference implementation for Stability AI's diffusion models: SDXL base/refiner/Turbo for text-to-image, plus Stable Video Diffusion, SV3D, and SV4D for image-to-video and 4D synthesis. A modular engine separates samplers, guiders, and conditioners.

#pytorch#video#vision#ai-image#ai-video+5
GitHub
AI Agent·2023
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MetaGPT

FoundationAgents, MetaGPT contributors +1

Orchestrates LLM-based roles (product managers, architects, engineers) to turn a one-line requirement into user stories, APIs and a starter code repo. SOP-driven multi-agent workflows with CLI and library APIs for prototype generation and agentic development.

#llm#ai-agent#agent-skills#ai-framework#python+3
GitHub
Computer Vision Papers·2023
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3D Gaussian Splatting for Real-Time Radiance Field Rendering

Bernhard Kerbl, Georgios Kopanas +2

Enables real-time (≥30 fps) 1080p novel-view synthesis by representing scenes as optimized anisotropic 3D Gaussians plus a visibility-aware splatting renderer; provides the paper's reference implementation, pretrained models and viewers — high-quality training requires CUDA GPU and significant VRAM.

#vision#pytorch#paper#code#github+4
Chatbot·2023
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NotebookLM

Google

Upload your own documents, PDFs, slides, or web pages and ask questions answered only from that material, with inline citations pointing to the exact passage used. Audio Overview turns your sources into a downloadable two-host podcast discussion.

#google#gemini#ai-tools#llm#audio+1
GitHub
AI Model·2023
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WeatherNext

Google DeepMind, Google Research

Provides code and pretrained models for WeatherNext 2 and WeatherNext Cyclones — ML-based global, medium-range atmospheric forecasting models from Google DeepMind/Google Research. Includes Colab demos, pretrained weights, and guides for cloud access and inference.

#deepmind#google#GNN#physics#mlops+4
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