pchlenski Goto Github PK
Name: Philippe Chlenski
Type: User
Company: Columbia University
Bio: CS PhD candidate
Twitter: pchlenski
Location: NYC
Blog: www.chlenski.com
Name: Philippe Chlenski
Type: User
Company: Columbia University
Bio: CS PhD candidate
Twitter: pchlenski
Location: NYC
Blog: www.chlenski.com
American Gut Project data processing
Microbial dynamics inferred from single-sample amplicon sequencing
Lectures for Barnard College BIOL3308 class
Microbial abundance data mining and metadata curation
differentiable neural computer for regular expression matching
Neural distance embeddings project
Generate graph/data embeddings multiple ways
Translation of the predicative copula using vector methods
Geometric data analysis (COMS 4995) final project
Generate line-by-line translations using GPT API
Visualize high-dimensional data by low-dimensional animations
Hyperbolic decision trees
Profiling manifolds in metagenomic data
SERI MATS research sprint
SERI MATS application research
Labs for BIOL BC3300 Microbial Genomics (2023)
Microbiome data simulator for power analysis
Mixture embeddings for microbiome data
Mixture embeddings for microbiome data
Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)
This repository is for manage PATRIC static contents such as Website Tutorial, CLI Tutorial, User Guides, and PATRIC eNews.
Phylogenetic leakage: non-independence of sequence embeddings
Phylogenetic signal (Pagel's lambda) and its relationship to metric curvature
Predictors to facilitate automated RAST genome submission
A LaTeX resume for Philippe Chlenski
Find a consensus node given a tree and counts at leaves
Turing machine simulator in Python
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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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.