pleiadian53 Goto Github PK
Name: Barnett Chiu
Type: User
Company: Mystery
Bio: I am interested in many areas of mainstream and non-mainstream sciences.
Location: New York
Name: Barnett Chiu
Type: User
Company: Mystery
Bio: I am interested in many areas of mainstream and non-mainstream sciences.
Location: New York
A collection of prototypes for biomedical applications. E.g. optimal protein-drug binding via hungarian algorithm.
Biased Random Forest For Dealing With The Class Imbalance Problem
Figure Scripts for the healthy CD8 Aging Manuscript
sandbox for exotic ensemble learning algorithms
A demo for predicting patient health status via diagnosis and prescription drugs. Key methods: (simple) EHR-sequencing, NLP, classification algorithms (e.g. logistic regression, decision tree)
This course is created by deeplearning.ai. Master Deep Learning, and Break into AI
Methods and Implements of Deep Clustering
Collections of my implementations on "basic" data analytics exercises
FRASER - Find RAre Splicing Events in RNA-seq
Accompanying analysis code for the FRASER manuscript
Implementation of Graph Convolutional Networks in TensorFlow
Topic Modelling for Humans
A generalized reinforcement learning framework that adapts to time-varying and evolving systems.
Better heatmaps in Python
Official implementation for HyenaDNA, a long-range genomic foundation model built with Hyena
CaveOfProgramming Java Server Pages Tutorial Notes
Lecture Notes on General Relativity, based on lectures by Dr. Frederic P. Schuller in 2015
Prototypes for LOINC code predictions and imputations. Key ideas: string/text similarity metric learning, document embeddings, contrastive loss and Siamese network, classification algorithms (e.g. logistic regression, random forest), EDA via dimensionality reduction (e.g. t-SNE, PCA).
List of Science courses with video lectures
Mixed Effects Random Forest
MLOps related modules based on the Deeplearning.AI's MLOps specialization
A collection of implementations useful for building recommender systems. Key methods: matrix factorization, regression, collaborative filtering, evolutionary algorithm
scikit-learn: machine learning in Python
A deep learning-based tool to identify splice variants
Computation using data flow graphs for scalable machine learning
This module organizes the source codes from DeepLearning.AI TensorFlow Developer Specialization for future reuse
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.