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120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

algorithm-pattern

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~

attention-is-all-you-need-paper

Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information processing systems. 2017.

basic-multi-task-learning

This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

bayesian-neural-network-mnist

Bayesian neural network using Pyro and PyTorch on MNIST dataset

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more

bayesian_nn_ensembles

ArXiv paper 'Uncertainty in Neural Networks: Bayesian Ensembling'

bayesianlearning

This repository is used to study Bayesian Staticts, Bayesian Machine Learning and Bayesian Deep Learning.

chainer-chemistry

Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry

chemdataextractor

Automatically extract chemical information from scientific documents

chemical_vae

Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow

chemprop

Message Passing Neural Networks for Molecule Property Prediction

cigin

Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-like Molecules

concretedropout

Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

constrained-graph-variational-autoencoder

Sample code for Constrained Graph Variational Autoencoders

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

cracking_the_machine_learning_interview

(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.

crystalatte

Set of scripts to automate the calculation of crystal lattice energies.

cyclical_annealing

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

descriptastorus

Descriptor computation(chemistry) and (optional) storage for machine learning

dl_knowledge_base

docker-course-xgboost

Materials for an online-course - "Practical XGBoost in Python"

edmnets

parameterizing valid Euclidean distance matrices (EDMs) via neural networks

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

ezchem

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

frag20_prepare

This is a package for data generation from 1D to 3D include conformation generation, file conversion, MMFF and QM calculation, data base preparation

freesolv

Experimental and calculated small molecule hydration free energies