danglive Goto Github PK

coelho2009_isbi_nuclearsegmentation

Reproducible research archive for "Nuclear segmentation in microscope cell images"

connected-components-3d

26-Connected Multi-Label Connected Components on 3D Images

cottonwood

A flexible neural network framework for running experiments and trying ideas.

covid-19

A collection of work related to COVID-19

credit-risk-model

Credit Risk Model on Machine learning and prediction

cset

CSET (Compressed Sensing Electron Tomography)-toolbox is a three-dimensional TV-based compressed sensing reconstruction toolbox that consists of algebraic iterative algorithms (SART and SIRT) with total variation (TV) based CS. In addition, it integrates a Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) that is an acceleration method to speed up the algorithm convergence.

d2go

D2Go is a toolkit for efficient deep learning

dab

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

darknet

YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

data

data-analysis

Data Science Using Python

data-engineering-zoomcamp

Free Data Engineering course!

data-science--cheat-sheet

Cheat Sheets

data-science-for-good

Data Science for Good Projects

data-science-interview-questions-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-projects-with-python

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

data-structure

data-structures-and-algorithms-coursera

Materials and assignments for Coursera Course: data structures and algorithms

data_engineering_essentials_hands_on_sql_python_and_spark

Python SQL Spark Data Engineer

datacamp-community-tutorials

Tutorials for DataCamp (www.datacamp.com)

dataset-sts

Semantic Text Similarity Dataset Hub

dcgan-image-generation

dd2d_matryoshka

A set of classes defining the behaviour of crystalline defects, with the final goal of carrying out dislocation dynamics simulations in two dimensions.

deakin-simpsons-challenge2021

The Deakin Simpsons challenge 2021 is a computer vision competition for which the goal is to recognize Simpsons characters individually in images using machine learning/deep learning. The challenge is designed to provide students with the opportunity to work as team members, to compete with each other, and to enhance the student learning experience by improving their AI modeling, problem-solving, and team-working skills.

deep-learning-tutorial

deep-text-recognition-benchmark

Text recognition (optical character recognition) with deep learning methods.

deep-trading

Algorithmic trading with deep learning experiments

deeplearning

deeplearningexamples

Deep Learning Examples