kynewang Goto Github PK
Type: User
Type: User
100 Days of ML Coding
Resources, datasets, papers on Question Answering
The source code of “Pick Gold After Panning: Credible Link Prediction for Knowledge Graph Completion”
Source code for paper: Enhancing Knowledge Graph Embedding by Composite Neighbors for Link Prediction
Must-read papers on graph neural network (GNN)
Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
Coding the Machine Learning Tutorial for Learning to Learn
Machine learning, in numpy
Personal collection of research resources on Question Answering
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.
Unofficial pytorch implementation of Piecewise Linear Unit dynamic activation function
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.