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Name: Simon Tse
Type: User
Bio: Try to apply my ML/NLP knowledge to problems I am interested in and create a narrative about the data. Current Interest: Cancer Biology
Location: Hong Kong
Name: Simon Tse
Type: User
Bio: Try to apply my ML/NLP knowledge to problems I am interested in and create a narrative about the data. Current Interest: Cancer Biology
Location: Hong Kong
Repository with code and slides for a tutorial on causal inference.
Package for computing causal effects of text (as treatment)
Curated research at the intersection of causal inference and natural language processing.
Select and score text features for causal inferences
Tools for causal analysis
A Python package for modular causal inference analysis and model evaluations
Uplift modeling and causal inference with machine learning algorithms
A python package for the deep learning causal parents inference method of my Master's thesis, which uses the principle of Independent Causal Mechanisms.
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
TensorFlow implementation of CipherGAN
The CoLoMoTo Interactive Notebook: Accessible and Reproducible Computational Analyses for Qualitative Biological Networks
Computational Systems Biology course material
The libmamba based solver for conda.
Coreference resolution for English, French, German and Polish, optimised for limited training data and easily extensible for further languages
Converter tools for Core ML.
Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx
cuDF - GPU DataFrame Library
cuML - RAPIDS Machine Learning Library
Collection of modular Cytoscape tutorials for online presentation using reveal.js
The code behind Data Analytics at Nesta's Medium Articles
Programming with Python for Data Science Microsoft
Repository with the BridgeDb data source.
Distributed Evolutionary Algorithms in Python
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
A nonprofit community run, 5-day Deep Learning Bootcamp
Code repository for Deep Learning with Keras published by Packt
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.
Kaggle's competition for using Google's word2vec package for sentiment analysis
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.