Stathis V.'s starred repositories
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
PlotNeuralNet
Latex code for making neural networks diagrams
albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
BigGAN-PyTorch
The author's officially unofficial PyTorch BigGAN implementation.
FaceForensics
Github of the FaceForensics dataset
efficientnet
Implementation of EfficientNet model. Keras and TensorFlow Keras.
pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
DenseDepth
High Quality Monocular Depth Estimation via Transfer Learning
voicefilter
Unofficial PyTorch implementation of Google AI's VoiceFilter system
llm_agents
Build agents which are controlled by LLMs
breast_cancer_classifier
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
SC-SfMLearner-Release
Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)
research-charnet
CharNet: Convolutional Character Networks
assembled-cnn
Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
pretorched-x
Pretrained Image & Video ConvNets and GANs for PyTorch: NASNet, ResNeXt (2D + 3D), ResNet (2D + 3D), InceptionV4, InceptionResnetV2, Xception, DPN, NonLocalNets, R(2+1)D nets, MultiView CNNs, Temporal Relation Networks, BigGANs StyleGANs, etc.
deepreplay
Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!
ipyexperiments
Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers
diode-devkit
DIODE Development Toolkit
Adaptive-Regularization-Neural-Network
[NeurIPS'19] [PyTorch] Adaptive Regularization in NN
DE_resnet_unet_hyb
Depth estimation from RGB images using fully convolutional neural networks.