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Name: Xinzhe Li
Type: User
Bio: ML/NLP/LLM Tutor & Researcher
Name: Xinzhe Li
Type: User
Bio: ML/NLP/LLM Tutor & Researcher
Experiment for the paper published on ALTA2021: "Exploring the Vulnerability of Natural Language Processing Models via Universal Adversarial Text"
A Tool to Perform Grounded and Modular Assessment on RAG systems
Pytorch code for experiments on Linear Transformers
LLMTrack: streamline the usage of language models, including easy loading, caching, logging and token usage tracking
A Central Repository of My Teaching Materials for Machine Learning & Deep Learning
Experiment for the paper published on TrustNLP: "Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data""
Official Implementation for the ACL&SEM2023 paper: "Can Pretrained Language Models Derive Correct Semantics from Corrupt Subwords under Noise?"
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.