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-tensorflow-hub

A library for transfer learning by reusing parts of TensorFlow models.

app-with-streamlit-and-opencv

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

caret-for-traindata-and-validdata

caretensemble

caret models all the way down :turtle:

cnntexture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

cnntutorial

Convolutional Neural Networks tutorial 🐶🐱

code-for-paper

Code for "A Novel Semi-supervised Learning Model Based On Pelvic Radiographs For Ankylosing Spondylitis Diagnosis Reduces 90% Of Annotation Cost"

convolutional-neural-network-gui

MNIST数据集卷积神经网络实现手写数字识别（GUI）

datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

deep-learning-with-python

book by Jason Brownlee

deep-learning-with-python-notebooks

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

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dnnsurv

dnnsurv-1

dnnsurv-2

duusurv-

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gans_python

This is a full guide on GANs from the book Generative Adversarial Networks with Python, Jason Brownlee

ggesda

An R package for Exploratory Symbolic Data Analysis using ggplot2

github520

:kissing_heart: 让你“爱”上 GitHub，解决访问时图裂、加载慢的问题。（无需安装）

image-classifiaction-using-cnn-and-keras-in-r

An Image Recognition Project made in R using Keras and Tensorflow which classifies a set of images amongst 10 classes

informationhouse

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

keras-

Udacity Machine Learning Nano Degree Courses

machine-learning-caret-code

An R studio project using the caret library to test different ml outcomes from a dungeons and dragons character training set

machine-learning-mastery-with-python

book by Dr. Jason Brownlee

medical-ai-adversarial-attack

Pytorch Project of Paper "A machine and human reader study on AI diagnosis model safety under attacks of adversarial images".