Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Image Super Resolution | 4,392 | 4 months ago | 106 | apache-2.0 | Python | |||||
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks. | ||||||||||
Image Quality Assessment | 1,937 | 5 months ago | 41 | apache-2.0 | Python | |||||
Convolutional Neural Networks to predict the aesthetic and technical quality of images. | ||||||||||
Deepcamera | 1,506 | 9 months ago | 15 | mit | JavaScript | |||||
Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more | ||||||||||
Cartoonify | 313 | a year ago | 3 | mit | Jupyter Notebook | |||||
Deploy and scale serverless machine learning app - in 4 steps. | ||||||||||
Best Data Science Resources | 282 | 3 years ago | mit | Jupyter Notebook | ||||||
This repository contains the best Data Science free hand-picked resources to equip you with all the industry-driven skills and interview preparation kit. | ||||||||||
Yolov5 Pip | 273 | 23 | 7 months ago | 69 | October 16, 2023 | 2 | gpl-3.0 | Python | ||
Packaged version of ultralytics/yolov5 + many extra features | ||||||||||
Ocrpy | 218 | 6 months ago | 12 | August 13, 2022 | 3 | mit | Jupyter Notebook | |||
OCR, Archive, Index and Search: Implementation agnostic OCR framework. | ||||||||||
Repo 2018 | 166 | 2 years ago | Jupyter Notebook | |||||||
Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core | ||||||||||
Aws Panorama Samples | 79 | 5 months ago | 13 | mit-0 | Python | |||||
This repository has samples that demonstrate various aspects of AWS Panorama device and the Panorama SDK | ||||||||||
Turkey | 64 | 6 months ago | mit | HTML | ||||||
Easily create a web UI on Amazon Mechanical Turk to crowd-source instance segmentation data |