Git的奇技淫巧

Code for Tensorflow Machine Learning Cookbook

Official Tensorflow and PyTorch Implementation of "Generalized Sum Pooling for Metric Learning"

Approaching (Almost) Any Machine Learning Problem

Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥

Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS ev…

Boosting vision transformers for image retrieval, proposed design of Deep Token Pooling(DToP)

矿大 校园网自动登录 windows脚本

📚 A collection of papers about Referring Image Segmentation.

Official PyTorch implementation of "Multi-modal Queried Object Detection in the Wild" (accepted by NeurIPS 2023)

An open source implementation of CLIP.

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.

[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

[ICLR'24 spotlight] Chinese and English Multimodal Large Model Series (Chat and Paint) | 基于CPM基础模型的中英双语多模态大模型系列

awesome grounding: A curated list of research papers in visual grounding

⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

[ICCV 2023] Official implementation of the paper "A Simple Framework for Open-Vocabulary Segmentation and Detection"

Scenic: A Jax Library for Computer Vision Research and Beyond

一份计算机专业宝藏求职攻略【校招时间表+求职攻略+简历制作+大厂面试经验+职业发展】

GAMA: Generative Adversarial Multi-Object Scene Attacks (NeurIPS'22)

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Deep functional residue identification

中科大数据科学导论课程实验-QM9数据集

Accurate ADMET Prediction with XGBoost

公众号「宫水三叶的刷题日记」刷穿 LeetCode 系列文章源码