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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
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
A Simple Text Mining Tool for Analyzing Research Paper Abstracts
A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Python package for ACT-R cognitive models
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
🌶️ An ecosystem in Python for working with the Biological Expression Language (BEL)
PyBioPAX: A python implementation of the BioPAX object model
Python/Cython Boyer-Moore string-search algorithm
PyBoolNet is a Python package for the generation, modification and analysis of Boolean networks.
Python library for causal inference and causal discovery
pyclustring is a Python, C++ data mining (clustering, oscillatory networks, neural networks, etc.) library.
Tutorial: Machine Learning with Text in scikit-learn
PyCon 2015 Pandas tutorial materials
Code bases, tutorials, posters, and other content for PyCon2016.
PyCX is a Python-based sample code repository for complex systems research and education.
A dynamic programming toolkit.
PyTorch based Deep Learning Toolbox
Efficient pythonic random access to fasta subsequences
Lazy-import of all popular Python Data Science libraries
A conda-smithy repository for pygsp.
Python library for working with kernel methods in machine learning
PyMC: Bayesian Stochastic Modelling in Python
pymc-learn: Practical probabilistic machine learning in Python
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
Pre-release development of high-level probabilistic programming interface for TensorFlow
a module to calculate the MeSH similarity
Python 2.7 implementation of network-based stratification (NBS) algorithm from Hofree et al (Nature Methods 2013)
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.