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Name: Mandar Kulkarni
Type: User
Bio: Computational Chemist
Location: Singapore
Name: Mandar Kulkarni
Type: User
Bio: Computational Chemist
Location: Singapore
📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
Accelerated sampling framework with autoencoder-based method
ANI-1 neural net potential with python interface (ASE)
This is the code notebook for the blog post on using Python and Auto ARIMA
Analyse Nucleic Acids Structure and Simulations with baRNAba
Addition of pseudotorsion caclulation eta, theta, eta', and theta' to barnaba package (https://github.com/srnas/barnaba)
📜 Brief Intro to LaTeX for beginners that helps you use LaTeX with ease.
Collective variables module for molecular simulation and analysis programs
Course Files for Complete Python 3 Bootcamp Course on Udemy
DataCamp data-science courses
Deep Learning Specialization by Andrew Ng on Coursera.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
python library for dimensionality reduction
Force Fields
Force fields in various formats
A deep learning framework for molecular docking
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Data for PLUMED tutorial in 2019 in Lugano
MDToolbox: A MATLAB/Octave toolbox for statistical analysis of molecular dynamics trajectories
Package for reading, analysis and visualization of metadynamics HILLS
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."
OpenMM is a toolkit for molecular simulation using high performance GPU code.
Parameter/topology editor and molecular simulator
How to differentiate collective variables in free energy codes: Computer-algebra code generation and automatic differentiation
Code accompanying my talk at "Open source software for enhanced-sampling simulations"
versatile Protein Dynamics Analysis in R
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.