[SIGGRAPH Asia 2024 & IJCV 2025] Follow-Your-Emoji & Follow-Your-Emoji-Faster: This repo is the official implementation of "Follow-Your-Emoji: Fine-Controllable and Expressive Freestyle Portrait An…

[AAAI 2025] Follow-Your-Click: This repo is the official implementation of "Follow-Your-Click: Open-domain Regional Image Animation via Short Prompts"

【EMNLP 2024🔥】Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

ChatLaw：A Powerful LLM Tailored for Chinese Legal. 中文法律大模型

Generative Models by Stability AI

The official code of the 2023 ACL paper "Enhancing Grammatical Error Correction Systems with Explanations"

VOLO: Vision Outlooker for Visual Recognition

程序员延寿指南 | A programmer's guide to live longer

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

表情包资源合集，张张都是经典

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

An implementation of LaneGCN (Learning Lane Graph Representations for Motion Forecasting)

A simple, fast, efficient and end-to-end 3D object detector without NMS.

The official code for the paper: https://openreview.net/forum?id=_PHymLIxuI

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

RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]

Implementation of our paper 'RESA: Recurrent Feature-Shift Aggregator for Lane Detection' in AAAI2021.

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, in…

📚 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

Best Practices, code samples, and documentation for Computer Vision.

A simple, fully convolutional model for real-time instance segmentation.

Machine learning, in numpy

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

This mathematics course is taught for the first year Ph.D. students of computer science and related areas @ZJU

Courseware of organic intelligence

This is the code for the NeurIPS 2019 paper Region Mutual Information Loss for Semantic Segmentation.

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.