Seeeeeyo
Data Science & Artificial Intelligence Master graduate. Computer Vision passionate.
MILAMontreal, Canada
Seeeeeyo's Stars
autodistill/autodistill
Images to inference with no labeling (use foundation models to train supervised models).
roboflow/clip_video_app
Flask-based web application designed to compare text and image embeddings using the CLIP model.
mindee/doctr
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
polyfillpolyfill/polyfill-service
Automatic polyfill service.
OpenSignLabs/OpenSign
🔥 The free & Open Source DocuSign alternative
facebookresearch/MetaCLIP
ICLR2024 Spotlight: curation/training code, metadata, distribution and pre-trained models for MetaCLIP; CVPR 2024: MoDE: CLIP Data Experts via Clustering
microsoft/SoM
Set-of-Mark Prompting for LMMs
sczhou/ProPainter
[ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting
jiawen-zhu/HQTrack
Tracking Anything in High Quality
graviraja/MLOps-Basics
CASIA-IVA-Lab/FastSAM
Fast Segment Anything
SysCV/sam-hq
Segment Anything in High Quality [NeurIPS 2023]
facebookresearch/detr
End-to-End Object Detection with Transformers
xuannianz/EfficientDet
EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow
gitbooo/CrossViVit
This repository contains code for the paper "Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context"
facebookresearch/ImageBind
ImageBind One Embedding Space to Bind Them All
Deci-AI/super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
gopro/OpenGoPro
An open source interface specification to communicate with a GoPro camera with accompanying demos and tutorials.
luca-medeiros/lang-segment-anything
SAM with text prompt
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
MuhammadMoinFaisal/Computervisionprojects
Computer Vision Projects
IDEA-Research/OSX
[CVPR 2023] Official implementation of the paper "One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer"
kadirnar/segment-anything-video
MetaSeg: Packaged version of the Segment Anything repository
runwayml/stable-diffusion
Latent Text-to-Image Diffusion
IDEA-Research/Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
baaivision/Painter
Painter & SegGPT Series: Vision Foundation Models from BAAI
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
SkalskiP/courses
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
jaggbow/magnet
This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495
roboflow/notebooks
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.