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Name: Sergey Anufriev
Type: User
Location: London
Name: Sergey Anufriev
Type: User
Location: London
A curated list of awesome Python frameworks, libraries, software and resources
BayesGrad: Explaining Predictions of Graph Convolutional Networks
BioCompoundML is a software tool for rapidly screening chemicals by chemical properties, using machine learning.
Python implementations of the Boruta all-relevant feature selection method.
Unet application to CFD data
Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow
A simple chemical structure graph modeling, drawing and analysis toolkit
Public facing notes page
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
This repository contains implementations and illustrative code to accompany DeepMind publications
Jupyter/IPython notebooks about evolutionary computation.
Feedforward Neural Network in Python
Minimax Optimization, Stackelberg Games, Generative Adversarial Networks
:microscope::books: Galaxy Tool wrappers
code to reproduce the empirical results in the research paper
GAN_exploration
A simple example of how a genetic algorithm can be used to select the optimal subset of features to use for machine learning problems.
source code from the book Genetic Algorithms with Python by Clinton Sheppard
GNN collection
Benchmarks for generative chemistry
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Benchmark interpretation of QSAR models
Fit interpretable models. Explain blackbox machine learning.
Keras implementation of Neural Graph Fingerprints as proposed by Duvenaud et al., 2015
computational chemistry job test
Lime: Explaining the predictions of any machine learning classifier
Experimental Research Computing documentation generation using mkdocs
OpenDataScience Machine Learning course. Both in English and Russian
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.