2019-zju_summerresearch

The task is to restate a thesis and redo the experiment following the instructions in the paper.

3d-machine-learning

A resource repository for 3D machine learning

absmapsdata

Use ABS ASGS data easily in R

adversarial

Conditional generative adversarial networks for convolutional face generation

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

arrow

Apache Arrow is a columnar in-memory analytics layer designed to accelerate big data. It houses a set of canonical in-memory representations of flat and hierarchical data along with multiple language-bindings for structure manipulation. It also provides IPC and common algorithm implementations.

autosis

Automatic Analysis

bda_py_demos

Bayesian Data Analysis demos for Python

codespeak

A web-based speech-to-code editor for humans.

coding-interview-university

A complete computer science study plan to become a software engineer.

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

coursera

R Course

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

credit_score

data from the kaggle 'give me some credit" competition

criteo

A potential 22nd rank solution to Criteo Labs Display Advertising Challenge on Kaggle

data-projector

Visualizing High-Dimensional Data in the Browser with SVD, t-SNE and Three.js

data-science-masters

Self-study plan to achieve mastery in data science

data2vis

Data2Vis: Automatic Generation of Data Visualizations Using Sequence to Sequence Recurrent Neural Networks

datasciencecoursera

datasharing

The Leek group guide to data sharing

deep-ttf

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

deeplearning4nlp-tutorial

Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)

dfply

dplyr-style piping operations for pandas dataframes

diff-zoo

Differentiation for Hackers

digits

Deep GPU Training System

discovery-hiring-analyst-2016

Task description and data for candidates applying to be a Data Analyst in the Discovery department at Wikimedia Foundation.

dl-machine

Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning

dockerfiles

Compilation of Dockerfiles with automated builds enabled on the Docker Registry.

doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

dslnlp

Manning DSL NLP