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D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement [ICLR 2025 Spotlight]
Curated list of data science interview questions and answers
Machine Learning and Computer Vision Engineer - Technical Interview Questions
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
PyTorch code for hierarchical k-means -- a data curation method for self-supervised learning
Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation" and "VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation"
PyTorch code and models for the DINOv2 self-supervised learning method.
Dino V2 for Classification, PCA Visualization, Instance Retrival: https://arxiv.org/abs/2304.07193
LibArgus and CUDA interaction Libraries, Samples, and Demos
Neighborhood Attention Transformer, arxiv 2022 / CVPR 2023. Dilated Neighborhood Attention Transformer, arxiv 2022
🏆 A ranked list of awesome python developer tools and libraries. Updated weekly.
fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
A Supervised and Semi-Supervised Object Detection Library for YOLO Series
A content-first, sliding sidebar theme for Jekyll.
Build a Jekyll blog in minutes, without touching the command line.
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pre…
In this repository using the sparse training, group channel pruning and knowledge distilling for YOLOV4,
Solve puzzles. Improve your pytorch.
🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞
A playbook for systematically maximizing the performance of deep learning models.
Official codes of ICCV2023 paper: <<FemtoDet: an object detection baseline for energy versus performance tradeoffs>>
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
A repository in preparation for open-sourcing lottery ticket hypothesis code.