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applied-deep-learning-resources

A collection of research articles, blog posts, slides and code snippets about deep learning in applied settings.

awesome-deep-learning-papers

The most cited deep learning papers

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

bm3d-denoise

Using BM3D to denoise,the code I'm modified is from https://github.com/MarkPrecursor/BM3D_Denosing.git

cam

Class Activation Mapping

co-teaching

NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deeplearningbook-chinese

Deep Learning Book Chinese Translation

denoisingautoencoder

Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation

dropoutuncertaintyexps

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

dsrg

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR2018)

few-shot-semantic-segmentation-papers

Few Shot Semantic Segmentation Papers

ffdnet

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

finetune_alexnet_with_tensorflow

Code for finetuning AlexNet in TensorFlow >= 1.2rc0

grabcut

handong1587.github.io

hiring2020

Internship status of companies - COVID-19

image-denoising-state-of-the-art

imgaug

Image augmentation for machine learning experiments.

keras

Deep Learning for humans

keras-cam

Keras implementation of class activation mapping

keras-cats-dogs-tutorial

A practical example of image classifier with Keras 2.x and TensorFlow backend, using the Kaggle Cats vs. Dogs dataset. By taking advantage of Keras' image data augmentation capabilities (and also random cropping), we were able to achieve 99% accuracy on the trained model with only 2,000 images in the training set.

keras-fine-tune-cat-dog-vgg16

keras-fine-tune-inception

Fine tuning inception v3 on Kaggle dogs-vs-cats dataset

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-learner

oct.15 learn how to use keras

keras-transfer-learning

VGG, RasNet and Inception architectures transfer learning

lm_filter_bank_python_code

Python code for generating Leung-Malik (LM) filter bank that is typically used in texture analysis and classification.

lrslibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos