dongso,github

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

albumentations_examples

Augmentations usage examples for albumentations library

all-programming-e-books-pdf

A Curated List Of Programming Books For C, C++ , Python, JavaScript, NodeJs, ReactJs, Web, JQuery, Flask, Dom, Angular, CSS, HTML for beginners, intermediate, advanced and experts

alphafold2

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

anomaly-detection

Anomaly detection algorithm implementation in Python

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

antialiased-cnns

pip install antialiased-cnns to improve stability and accuracy

art-dcgan

Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.

attention

several types of attention modules written in PyTorch

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

baal

Library to enable Bayesian active learning in your research or labeling work.

basic_cnns_tensorflow2

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).