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Code for fair k-center
Code for our paper "Fair k-Center Clustering for Data Summarization"
A library for efficient similarity search and clustering of dense vectors.
K-Means clustering of molecules with the FASS library from Facebook AI Research
Data and code of the experiments for "Network-Based Drug-Target Interaction Prediction with Probabilistic Soft Logic"
FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"
Code for the paper "FAME: Fragment-based Conditional Molecular Generation for Phenotypic Drug Discovery", published on SDM 2022.
Repository for the familiar R-package. Familiar implements an end-to-end pipeline for interpretable machine learning of tabular data.
Algorithm for ultra-scale multiple sequence alignments (3M protein sequences in 5 minutes and 24 GB of RAM)
An R implementation of the multidimensional Kolmogorov-Smirnov two-sample test as defined by Fasano and Franceschini (1987).
Molecular Generation by Fast Assembly of SMILES Fragments
Fusion models for Atomic and molecular STructures (FAST)
Self-Tuning Data Adaptive Matrix Imputation
A C library for reading/writing entire fasta files. Fasta files are loaded into internal buffers that store all headers and sequences such that each sequence and header can be found via a simple lookup function.
C implementation of chemprop
Parallelized implementation of chamfer distance with k-nearest neighbors
Transformer related optimization, including BERT, GPT
FastFlow is a system that automatically detects CPU bottlenecks in deep learning training pipelines and resolves the bottlenecks with data pipeline offloading to remote resources .
A customized Tensorflow with partial offloading and profiling features for FastFlow project.
R package for fast, numerically-stable Gauss-Hermite quadrature
Fast glm fitting via RcppEigen
AI for discovering 100% valid drug like molecules, a combination of VAE-JTNN and bayesian optimization, an optimized Python 3 Version of Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
Fast computation of some matrices useful in statistics
An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)
Style transfer, deep learning, feature transform
Foundations and Applications of Statistics: An Introduction Using R
Target prediction
R package for 'Efficient Learning of Word Representations and Sentence Classification'
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.