Aditya Arun's starred repositories
super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
img2dataset
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
InternImage
[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Segment-Everything-Everywhere-All-At-Once
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
faiss_tips
Some useful tips for faiss
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.
CVinW_Readings
A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''
waymo-open-dataset
Waymo Open Dataset
critique-apps
Apps built using Inspired Cognition's Critique.
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
Weighted-Boxes-Fusion
Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.
Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.