Giter Site home page Giter Site logo

Qingyuan (Chingyuen) Liu's Projects

alphafold2 icon alphafold2

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

chi1_predict icon chi1_predict

This project aims to predict the chi1 angle of a protein's side chain from sequence information.

d2 icon d2

Speed virtual screening by 50X

drug_drug_interaction icon drug_drug_interaction

This is the final project for Unsupervised Learning and Data Analysis. The goal of this project is to detect any potential drug drug interation by reading drug labels. This peoject rely heavily on Natural language processing. The project is wriiten in python.

endoad icon endoad

Endophenotype-based AD Drug Discovery

epileptic_detection_eeg_project icon epileptic_detection_eeg_project

This is the final project for signal processing class. The project is to detect epileptic EEG signal from regular signal. All the code is written in matlab.

hydro-bandaid_manufacture icon hydro-bandaid_manufacture

A project proposal on how to manufacture a smart drug delivery device that could deliver the drug controlled based on different conditions.

kinodata icon kinodata

Collection of scripts / notebooks to reliably select datasets

models icon models

Models and examples built with TensorFlow

notebooks icon notebooks

Notebooks using the Hugging Face libraries 🤗

openfold icon openfold

Trainable PyTorch reproduction of AlphaFold 2

protein_origami icon protein_origami

This is my mid-term research report summary for class ECE 481 - Nanotechnology from University of Illinois at Urbana Champaign.

texture_detection icon texture_detection

This is the final project for the Computer Vision class. The goal is to classify different textures. The code is written in python.

transformers icon transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

ttic_31020_introtoml icon ttic_31020_introtoml

This is the problem set code I wrote for class TTIC 31020 Introduction of Machine learning. Please revised cautiously.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.