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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
Simon Tse's Projects
ray
A high-performance distributed execution engine
recommenders
Best Practices on Recommendation Systems
relationship-extraction
Collection of Jupyter notebook and data on my attempt to induce causal relationship from text
releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
researchkit
ResearchKit is an open source software framework that makes it easy to create apps for medical research or for other research projects.
restricted-boltzmann-machine
Restricted Boltzmann Machine for collaborative filtering of movies.
rgn
Recurrent Geometric Networks for end-to-end differentiable learning of protein structure
robust-pca
A simple Python implementation of R-PCA
rocm
ROCm - Open Source Platform for HPC and Ultrascale GPU Computing
role2vec
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
rpca
Robust Prinicipal Components in Python
rxpy
Reactive Extensions for Python, https://rxpy.rtfd.io
scikit-kge
Python library to compute knowledge graph embeddings
scikit-learn
scikit-learn: machine learning in Python
scikit-learn-intelex
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
scikit-network
Graph Algorithms
scispacy
A full spaCy pipeline and models for scientific/biomedical documents.
scratch_mlp
Explaining the Math of how neural networks learn
seeking_exotics
notebooks from my data-intelligence.ai talk
sent2vec
General purpose unsupervised sentence representations
seq2vec
Transform sequence of words into a fix-length representation vector
sfa
A simulation framework to analyze signal flows in complex networks
sgcn
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
simplebool
A python package for simulation and analysis of dynamic Boolean network models
sine
A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).
skater
Python Library for Model Agnostic Interpretation
skdata
Data sets for machine learning in Python
skift
scikit-learn wrappers for Python fastText.
sklearn-jax-kernels
Composable kernels for scikit-learn implemented in JAX.
sklearn_pytorch
Transposition in PyTorch to Sklearn models such as Random Forest or SVM
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