mitchelldehaven Goto Github PK
Name: Mitchell DeHaven
Type: User
Name: Mitchell DeHaven
Type: User
Two baseline approaches utilzing additional SST data for SemEval 2023 AfriSenti task.
Official code for CAT-Net: Compression Artifact Tracing Network. Image manipulation detection and localization.
Convert HTML to Markdown-formatted text.
This is the official location of the Kaldi project.
Implementation for Extracting Multiple-Relations in One-Passwith Pre-Trained Transformers
code for Image Manipulation Detection by Multi-View Multi-Scale Supervision
A fast, local neural text to speech system
scikit-learn: machine learning in Python
Code and documentation to train Stanford's Alpaca models, and generate the data.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Robust Speech Recognition via Large-Scale Weak Supervision
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.