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Name: Yong Xie
Type: User
Name: Yong Xie
Type: User
CheatSheet for 18.6501x
Course 18.S191 at MIT, Spring 2021 - Introduction to computational thinking with Julia:
Microcourses hosted by the Acceleration Consortium for self-driving lab topics.
Solutions to the 'Applied Machine Learning In Python' Coursera course exercises
Course materials for the Coursera MOOC: Applied Machine Learning in Python from University of Michigan
Deep and Machine Learning for Microscopy
A curated list of self-driving laboratories that combine hardware automation and artificial intelligence to accelerate scientific discovery.
微信小程序开发资源汇总 :100:
A curated list of papers & resources linked to 3D reconstruction from images.
Book repository "Analysis and Design of Elementary MOS Amplifier Stages"
This repository is a collection of famous books that a person who has keen to learn programming, should go through in his career.
Learning Books
Caffe: a fast open framework for deep learning.
Build your own ChatGPT plugin platform with GPT's function calling ability | func call by GPT
Coupled Deep Autoencoder for Single Image Super-Resolution
Crystal graph convolutional neural networks for predicting material properties.
Projects from edX | CSMM.103x Robotics
The 3rd edition of course.fast.ai
Dean Attali's website - R/Shiny Consultant
R scripts written for MIT's Data Analysis for Social Scientists course offered on edX.
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
Code for "Deep Learning for In Vivo Near-Infrared Imaging".
:satellite: All You Need to Know About Deep Learning - A kick-starter
Summaries and notes on Deep Learning research papers
This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Notebooks for learning deep learning
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.