carlosfudan Goto Github PK
Type: User
Company: fudan uni
Location: Shanghai
Type: User
Company: fudan uni
Location: Shanghai
Papers on Computational Advertising
《UNIX环境高级编程》中文第三版笔记
This repository collects the latest research progress of Privacy-Preserving Recommender Systems after 2018.
使用必剪API的语音字幕识别
keras implement of transformers for humans
ChatGPT raycast extension
code and demo for our CVPR2022 paper "ClothFormer: Taming Video Virtual Try-on in All Module"
Generate your lover with your photo
PDF Files Processing Tools
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
Deep Neural Network with back propagation implemented in Verilog.
Draw a mockup and generate html for it
miniprogram of wechat
2019年研究生数学建模汽车行驶工况构建赛题数据处理
All in one Recommendation System can run on small server or edge device (Android/iOS/IoT device etc.)
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
Virtual whiteboard for sketching hand-drawn like diagrams
Firmware for the Applied Procrastination "Fetch" ferrofluid display
In this competition, you’ll benchmark machine learning models on a challenging large-scale dataset. The data comes from Vesta's real-world e-commerce transactions and contains a wide range of features from device type to product features. You also have the opportunity to create new features to improve your results.
:zap: Dynamically generated stats for your github readmes
login the inside network of fdu
Implementation and experiments of graph embedding algorithms.
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
My fork of the Hugo Academic theme
常用机器学习的算法简洁实现
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1500+页)和视频链接
MAML model finished by Tensorflow 2.2
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.