Stars
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Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK
vision language models finetuning notebooks & use cases (Medgemma - paligemma - florence .....)
Build resilient language agents as graphs.
Agent harness built with LangChain and LangGraph. Equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - well-equipped to handle complex agentic tasks.
Optimized Whisper models for streaming and on-device use
[CVPR'25 Oral] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
The official codes of ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors
Open Source Alternative to Vercel, Netlify and Heroku.
VGGSfM: Visual Geometry Grounded Deep Structure From Motion
Automatic livestock body measurement based on keypoint detection with multiple depth cameras
A two-stage coarse-to-fine method for automatic cattle body measurement
A python module to repair invalid JSON from LLMs
[NeurIPS 2025] Pixel-Perfect Depth
Visualize Data From Stray Scanner https://keke.dev/blog/2021/03/10/Stray-Scanner.html
About This repository is a curated collection of the most exciting and influential CVPR 2025 papers. π₯ [Paper + Code + Demo]
Official implementation for "Stable Flow: Vital Layers for Training-Free Image Editing" [CVPR 2025]
streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL
π The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
[ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy
We write your reusable computer vision tools. π
Implements the unsupervised pre-training of convolutional neural networks
Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"
Real-time Mobile Car Pose Estimation with CoreML
Shush is an app that deploys a WhisperV3 model with Flash Attention v2 on Modal and makes requests to it via a NextJS app