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GitHub
AI Leaderboard·2023
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VLMEvalKit

open-compass (OpenCompass community)·OpenCompass, Shanghai AI Laboratory

Runs one-command evaluation of vision-language models across 80+ multimodal benchmarks, handling data download, inference, and metric scoring in a single pass. Supports 220+ LMMs; adding a new model means writing one generate_inner() function.

#vision#ai-leaderboard#huggingface#github#ai-tools+1
GitHub
AI Image·2023
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DiffSynth-Studio

ModelScope Community·ModelScope

Provides a diffusion-model studio for image, video, audio-video, editing, LoRA, and full training workflows so many model families share one inference and training framework.

#ai-image#ai-video#video#vision#pytorch+6
GitHub
AI Model·2023
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FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects

Bowen Wen, Wei Yang +2·NVIDIA, NVlabs +1

Estimates and tracks 6D poses of novel objects without per-object fine-tuning — supports both model-based (CAD) and model-free (few reference images) setups. Trained on large-scale synthetic data with a transformer-based architecture and contrastive learning; CVPR 2024 highlight with demos and pretrained weights.

#pytorch#vision#robotics#depth#foundation-model+3
GitHub
AI Model·2024
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Surya

Vikas Paruchuri, Datalab Team

Performs document OCR, layout analysis, reading-order detection and table recognition across 90+ languages using a ~650M-parameter vision–language model; offers per-page and per-block modes and supports GPU (vllm) and CPU/Apple Silicon backends.

#ocr#multilingual#vision#vllm#ai-inference+5
GitHub
AI Agent·2024
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MobileAgent

X-PLUG (Tongyi Lab, Alibaba Group)·Tongyi Lab, Alibaba Group

A family of GUI agents that operate phones, desktops, and browsers by perceiving the screen visually rather than reading app code. Ships open GUI-Owl vision-language models (7B/32B) plus a multi-agent framework for planning, reflection, and tool use.

#llm#vision#agent-skills#github#huggingface+2
GitHub
Embodied AI·2024
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LeRobot

Hugging Face

A PyTorch-native, hardware-agnostic stack for robot learning: data collection, training, and deployment across 11+ robots, from SO100 to Unitree G1. Includes imitation, RL, and vision-language-action policies (ACT, Diffusion, Pi0, SmolVLA).

#robotics#huggingface#pytorch#gitHub#ai-library+4
GitHub
AI Model·2024
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MiniCPM-V

OpenBMB, ModelBest +1

Pocket-sized multimodal LLM for efficient image- and video-understanding on mobile and edge devices, featuring mixed 4x/16x visual-token compression (MiniCPM‑V 4.6), compact 1.3B variants, and ready guides for iOS/Android/HarmonyOS deployment.

#multimodal#vision#video#LLM#huggingface+5
GitHub
AI Train·2024
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MiniCPM-o

OpenBMB·OpenBMB, ModelBest

Runs GPT-4o-class vision, speech, and full-duplex audio-video conversation on a 9B model small enough to deploy on phones and tablets. The 4.5 release scores 77.6 on OpenCompass and adds real-time bilingual voice with voice cloning.

#foundation-model#llm#pytorch#vision#audio+5
GitHub
AI Image·2024
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Brush

Arthur Brussee

Produces real-time 3D reconstructions from multi-view images using Gaussian splatting, with on-device training and interactive viewing across native desktops, Android, and the browser. Uses WebGPU and the Burn ML framework to ship dependency-free binaries, a CLI, live training visualization, and streaming .ply support.

#vision#ai-image#ai-train#rust#github+5
GitHub
AI Agent·2024
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Skyvern

Skyvern AI (Skyvern-AI)·Skyvern AI

Automates browser workflows using LLMs and computer vision instead of XPath selectors, so it works on unseen sites and survives layout changes. Drive tasks with natural-language prompts: act, extract, validate. Handles 2FA and multi-step flows.

#vision#LLM#ai-agent#agent-skills#python+3
GitHub
AI API·2024
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MLX-VLM

Blaizzy

Provides local inference, fine-tuning, and a server/CLI for vision–language and omni (image/audio/video) models via MLX. Supports multi-image chat, audio/video inputs, activation quantization (CUDA), TurboQuant KV cache, and LoRA/QLoRA fine-tuning for on-device workflows.

#vision#ai-inference#ai-serving#python#github+5
GitHub
AI Image·2024
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pdf-document-layout-analysis

HURIDOCS

Segments each PDF page into 11 labeled regions — titles, tables, formulas, figures, footnotes and more — and recovers reading order. Offers two engines: an accurate VGT visual model (~0.96 F1) or a faster CPU-only LightGBM ensemble.

#ocr#vision#gitHub#huggingface#docker+3
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