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data-analysis-and-machine-learning-projects

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

data-science-ipython-notebooks

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

data-science-practical-machine-learning

One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will provide basic grounding in concepts such as training and tests sets, overfitting, and error rates. The course will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. The course will cover the complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation.

dbda2estan

Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition

dbs

MATLAB toolbox for cluster-wise correction in (brain) connectivity analysis

dcgan.torch

A torch implementation of http://arxiv.org/abs/1511.06434

dcormv

Calculate multivariate distance correlation (reference: Yoo et al. )

ddsm

change the format of images in DDSM dataset from LJPEG to PNG

ddsmutility

This is a utility written by me to greatly simplify downloading, converting, viewing and extracting annotations from the Digital Database for Screening Mammography (DDSM) database available here: http://marathon.csee.usf.edu/Mammography/Database.html

dec-keras

Keras implementation for Deep Embedding Clustering (DEC)

deconvnet

DeconvNet : Learning Deconvolution Network for Semantic Segmentation

deep-active-learning

Deep Active Learning

deep-clustering

A Convolutional Neural Network based model for Unsupervised Learning

deep-compression-alexnet

Deep Compression on AlexNet

deep-diabetic-retinopathy-image-dataset-deepdrid-

Automated machine learning can facilitate the early diagnosis and timely treatment of diabetic retinopathy. Following the 1st Diabetic Retinopathy: Segmentation and Grading Challenge held with ISBI in 2018, we would like to promote the progress further through 2nd challenge using a new dataset, Deep Diabetic Retinopathy Image Dataset (DeepDRiD). The challenge is subdivided into three tasks as follows: A. Dual-View Disease Grading: Classification of fundus images according to the severity level of diabetic retinopathy using dual view retinal fundus images. B. Image Quality Estimation: Fundus quality assessment for overall image quality, artifacts, clarity, and field definition. C. Transfer Learning: Explore the generalizability of a Diabetic Retinopathy (DR) grading system. The robust and generalizable models are expected to be developed to solve clinical issues in reality.

deep-domino

A deep learning tutorial using h2o and Domino

deep-encoding

Deep Texture Encoding Network

deep-learning

Deep learning project in TensorFlow and Torch to analyze clinical health records and construct deep learning models to predict future patient complications.

deep-learning-1

deep-learning-101

Deep Learning Tutorials

deep-learning-benchmarks

Raw Benchmark Data for Popular Machine Learning Frameworks

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deep-learning-cifar10

Convolutional Nets on CIFAR10 dataset using Keras and Theano

deep-learning-demo

:pill: The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

deep-learning-for-beginners

videos, lectures, blogs for Deep Learning

deep-learning-for-biology-hse-2018-course

Deep Learning for Biology course materials / Higher School of Economics, 2018

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-learning-for-medical-applications

Deep Learning Papers on Medical Image Analysis

deep-learning-from-scratch

This repository will contain implementations of basic deep learning algorithms, completely from scratch

deep-learning-from-scratch-1

『ゼロから作る Deep Learning』のリポジトリ