hanfeijp Goto Github PK

cs231n-2017

Completed the CS231n 2017 spring assignments from Stanford university

cs231n.github.io

Public facing notes page

cs446

:computer: CS446: Machine Learning in Spring 2018, UIUC

ctpn

Detecting Text in Natural Image with Connectionist Text Proposal Network

cv-arxiv-daily

分享计算机视觉每天的arXiv文章

d2l-en

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

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

daisukelab.github.io

Build a Jekyll blog in minutes, without touching the command line.

darch

Create deep architectures in the R programming language

darch12

Скрипты к статье

darkflow

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

darknet

Convolutional Neural Networks

darknet.keras

dask

Parallel computing with task scheduling

data-analysis

Data Analysis Using Python

data-analysis-and-machine-learning-projects

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

data-pipeline

Data pipeline is a tool to run Data loading pipelines. It is an open sourced app engine app that users can extend to suit their own needs. Out of the box it will load files from a source, transform them and then output them (output might be writing to a file or loading them into a data analysis tool). It is designed to be modular and support various sources, transformation technologies and output types. The transformations can be chained together to form complex pipelines.

data-science-at-the-command-line

Data Science at the Command Line

data-science-blogs

A curated list of data science blogs

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-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

data-scientist-books

Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)

data_server

Exposes MT4 data to web.

datafaker

Datafaker is a large-scale test data and flow test data generation tool. Datafaker fakes data and inserts to varied data sources. 测试数据生成工具

dataflowtemplates

Google-provided Cloud Dataflow template pipelines for solving simple in-Cloud data tasks

datascience-ai-machinelearning-resources

Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.

datasciencespecialization.github.io

http://DataScienceSpecialization.github.io

db.py

db.py is an easier way to interact with your databases

db_syntax_diff

Check incompatible SQL statements among multiple RDBs

dbeaver

Free universal database tool and SQL client