paul2002,github

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

antialiased-cnns

pip install antialiased-cnns to improve stability and accuracy

arxiv2kindle

Arxiv2Kindle is a simple script written in python that converts LaTeX source downloaded from Arxiv and recompiles it to better fit a Kindle or other similar reading devices.

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

attention-res-unet-with-guided-decoder-for-semantic-segmentation-of-brain-tumors

A new Deep Learning architecture for automatic segmentation of brain tumors.

automatic-leaf-infection-identifier

Automatic detection of plant diseases

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome_lightweight_networks

The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐

bayesian-crowd-counting

Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision

big_vision

Official codebase used to develop Vision Transformer, MLP-Mixer, LiT and more.

convnets-tensorflow2

⛵️ Implementation a variety of popular Image Classification Models using TensorFlow2. [ResNet, GoogLeNet, VGG, Inception-v3, Inception-v4, MobileNet, MobileNet-v2, ShuffleNet, ShuffleNet-v2, etc...]

convnext-2020s

Implementation of paper: ConvNet for the 2020s

cutmix-pytorch

Official Pytorch implementation of CutMix regularizer

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-with-python-notebooks

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

deep_learning_with_noisy_labels_literature

This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

diabetic_retinopathy_detection

This is a TensorFlow example implementation for retina classification of diabetes. The network is a standard residual network model with 50 layers which is defined in resnet_models.py and resnet_utils.py.