jerryflymi Goto Github PK
Name: Zhiyu Zhao
Type: User
Company: Nanjing University
Bio: Now Bytedance \\ An Intern of @OpenGVLab
Location: Nanjing
Name: Zhiyu Zhao
Type: User
Company: Nanjing University
Bio: Now Bytedance \\ An Intern of @OpenGVLab
Location: Nanjing
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记,此外,还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的,其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。
[CVPR 2024] Asymmetric Masked Distillation for Pre-Training Small Foundation Models
a simple yet interesting tool for chatting about video with chatGPT, miniGPT4 and StableLM
General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX
Learning Spatiotemporal Features via Video and Text Pair Discrimination
An unofficial implementation of 'Domain Adaptive Faster R-CNN for Object Detection in the Wild ’
Implementation of "Strong-Weak Distribution Alignment for Adaptive Object Detection"
Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper
Fast R-CNN
My implementation of Fast-RCNN (tensorflow)
A faster pytorch implementation of faster r-cnn
A graph-based image segmentation algorithm
InternVideo: General Video Foundation Models via Generative and Discriminative Learning (https://arxiv.org/abs/2212.03191)
LeetCode刷题记录
ModelArts开发者交流互动平台,@ModelArts服务官网:https://www.huaweicloud.com/product/modelarts.html
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Graph Convolutional Networks in PyTorch
The Tensorflow with tflearn implementation of the RCNN model.
Machine learning is supposed to be simple~
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
A method to increase the speed and lower the memory footprint of existing vision transformers.
Everything about Transfer Learning and Domain Adaptation--迁移学习
本人在大学期间所有课程课设和作业的代码和部分报告,包括【计算机组成与结构】、【计算机网络与通信技术】、【软件基础综合课程设计】、【互联网软件开发综合课程设计】、【数据挖掘与大数据分析】、【时间序列分析】、【机器学习】、【数据结构与算法】、【并行程序设计导论】、【计算机操作系统】、【计算机视觉】
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
[CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.