ulamaca Goto Github PK
Name: Kuan Lee
Type: User
Bio: who codes in python, machine learning, data science and English happily
Location: Hsinchu, Taiwan
Blog: https://scholar.google.com/citations?user=IgpkMgEAAAAJ&hl=zh-TW
Name: Kuan Lee
Type: User
Bio: who codes in python, machine learning, data science and English happily
Location: Hsinchu, Taiwan
Blog: https://scholar.google.com/citations?user=IgpkMgEAAAAJ&hl=zh-TW
Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)
This repository implements the winning solution for the single cell perturbation problems
Python implementation of 30-seconds-of-code
Awesome list of the data and AI/ML related projects with direct Life Science Companies participation
[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models
A repo for data science related questions and answers
Deep count autoencoder for denoising scRNA-seq data
Pytorch Lightning code guideline for conferences
Repo for the Deep Reinforcement Learning Nanodegree program
Example implementations of common machine learning projects in chemistry.
Code for the Deep Learning with PyTorch lesson
The First Project of Udacity Deep Reinforcement Learning Nanodegree: PyTorch implementation of DQN, Double DQN and Dueling DQN to solve a navigation task (Unity Banana)
The Second Project of Udacity Deep Reinforcement Learning Nano Degree. PyTorch implementation of PPO to solve Reacher Environment (Unity) with Continuous Action Space.
The Third Project of Udacity Deep Reinforcement Learning Nano-Degree: PyTorch implementation of MADDPG to solve (Unity) Two-agent Tennis environment.
Graph neural networks for molecular design.
collections of examples of gumbel softmax tricks in optimization & deep learning
HydrAMP: a deep generative model for antimicrobial peptide discovery
A beautiful, simple, clean, and responsive Jekyll theme for academics
TensorFlow Implementation of an approximate version of L_0 regularization from Louizos et al. 2017. The implementation is generally applicable to both weights/biases and units activation in neural networks.
setting up fast a prototyping environment for data science projects
Preparing for machine learning interviews
Machine Learning Designs Non-Hemolytic Antimicrobial Peptides
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Coding exercises during my study at Neural Information Processing master degree program at University of Tuebingen
List of molecular design using Generative AI and Deep Learning
Statistical package in Python based on Pandas
playing with (therapeutic) peptide data
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.