saeedseyyedi Goto Github PK

contrib-pydicom

contributions to the core pydicom base, including tutorials, extra plugins, etc.

convnet-study

convnets_from_scratch

Implementation of ConvNets just by using Numpy

course-v3

The 3rd edition of course.fast.ai

covid-19-xray-dataset

Manually drawn lung segmentations, with and without covid

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

covidprognosis

COVID deterioration prediction based on chest X-ray radiographs via MoCo-trained image representations

cvpr2020-hattmatting

Attention-Guided Hierarchical Structure Aggregation for Image Matting(CVPR2020)

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

darknet-cpp-windows

Visual studio project files for Darknet-cpp

darknet-yolov3-sample

Some instructions and an example of using the neural network framework, Darknet, for object detection with YOLO v3.

data-science-cheatsheet

datasciencepython

common data analysis and machine learning tasks using python

deep-learning-books-1

Books for machine learning, deep learning, math, NLP, CV, RL, etc

deep-learning-experiments

Notes and experiments to understand deep learning concepts

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-math-machine-learning.ai

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

deepcell

deepcell-tf

Deep Learning Library for Single Cell Analysis

deeplab2

DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.

deeplearning

Here is some of the work I have done throughout my Deep Learning research at St Francis Xavier University

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deepneuro

A deep learning python package for neuroimaging data. Made by:

deeppath

Classification of Lung cancer slide images using deep-learning

deepslide

Code used in the paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

denoisotron

Brought to you by the creators of Denoising_GUI and Denoising_Reloaded_GUI, Denoising_Revolutions_GUI might give you the power to save Zion from the machine invasion (note, not guarenteed, I take no responsibility)

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

densenet-1

DenseNet implementation in Keras