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d2l-en

Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.

d2l-pytorch

This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch.

d3-jupyter-tutorial

daanet

DAANet: Dual Ask-Answer Network for Machine Reading Comprehension

dafl

A Pytorch implementation of "Data-Free Learning of Student Networks" (ICCV 2019).

dagster

Dagster is an open-source system for building data applications.

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

daimethodtracing

This is a tool for understanding your methods. You can monitor the input / output value, method relationships, method process time.

damnwebscanner

Another web vulnerabilities scanner, this extension works on Chrome and Opera

dan

Deep Averaging Networks

danger-zone

Correlate data between domains, IPs and email addresses, present it as a graph and store everything into Elasticsearch and JSON files.

danmf

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

darknet

Convolutional Neural Networks

darkscrape

OSINT Tool For Scraping Dark Websites

dashboards

Jupyter Dashboards Layout Extension

dat8

General Assembly's Data Science course in Washington, DC

data

Open Data Sources

data-analysis

Data Science Using Python

data-analysis-1

资料分享

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

data-analysis-with-r

Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more

data-mining-pku

Instruction of assignment in course "Data Warehousing and Data Mining Technology", Spring and Summer Semester, 2017.

data-science

:bar_chart: Path to a free self-taught education in Data Science!

data-science--cheat-sheet

Cheat Sheets

data-science-blogs

A curated list of data science blogs

data-science-from-scratch

code for Data Science From Scratch book

data-science-interviews

Data science interview questions and answers

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-science-learning-resources

A collection of machine learning resources that I've found helpful (I only post what I've read!)