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Name: Dongdong Zhang
Type: User
Company: New York University
Bio: Love programming while studying Chemistry
Location: New York City, NY, US
Name: Dongdong Zhang
Type: User
Company: New York University
Bio: Love programming while studying Chemistry
Location: New York City, NY, US
Answers to 120 commonly asked data science interview questions.
算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~
Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information processing systems. 2017.
This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow
Notebooks related to Bayesian methods for machine learning
Bayesian neural network using Pyro and PyTorch on MNIST dataset
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more
ArXiv paper 'Uncertainty in Neural Networks: Bayesian Ensembling'
This repository is used to study Bayesian Staticts, Bayesian Machine Learning and Bayesian Deep Learning.
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
Automatically extract chemical information from scientific documents
Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow
Message Passing Neural Networks for Molecule Property Prediction
Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-like Molecules
Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832
Sample code for Constrained Graph Variational Autoencoders
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
(Under Construction) I am currently writing a solution from the Medium article "Cracking the Machine Learning Interview," written by Subhrajit Roy. In the past year since the article went public, Subhrajit has only written down the questions with no update on the solutions. I plan on finishing the war. I may add more questions outside of the articles domain. No one else on the internet has written down a solution for machine learning interview, an opportunity I want to take advantage of.
Set of scripts to automate the calculation of crystal lattice energies.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Descriptor computation(chemistry) and (optional) storage for machine learning
Materials for an online-course - "Practical XGBoost in Python"
parameterizing valid Euclidean distance matrices (EDMs) via neural networks
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Folder / directory structure options and naming conventions for software projects
This is a package for data generation from 1D to 3D include conformation generation, file conversion, MMFF and QM calculation, data base preparation
Experimental and calculated small molecule hydration free energies
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.