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python_tutorials

Python tutorials in both Jupyter Notebook and youtube format.

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-cortexnet

PyTorch implementation of the CortexNet predictive model

pytorch-deep-learning

Deep Learning (with PyTorch)

pytorch-image-classification

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-opcounter

Count the MACs / FLOPs of your PyTorch model.

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

pytracer

Physically Based Rendering with Python

real-time-voice-cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

recipes

Lasagne recipes: examples, IPython notebooks, ...

rescyclegan

Unsupervised Image-to-Image Translation by Matching the Characteristics of Images

residual-cyclegan-for-face-attribute-editing

tensorflow, face attribute manipulation

rising

Provides everything needed for high performance data loading and augmentation in pytorch.

s411_ats-tuebingen

Code associated with the course "Advanced Time Series Analysis"

sa-gan

SA-GAN: Stain Acclimation Generative Adversarial Networks for Histopathology Image Analysis

sam

Official Implementation for "Only a Matter of Style: Age Transformation Using a Style-Based Regression Model" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02754

sam4mis

Segment Anything Model for Medical Image Segmentation: paper list and open-source project summary

score_sde_pytorch

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

segment-and-track-anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

self-attention-dcgan

An application of Self-Attention GANs and DCGAN on mnist dataset.

self-attention-gan

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

siibra-tutorials

Tutorials for the siibra toolsuite - software interface for brain atlases.

sit2stand

sit2stand-analysis

smulymphnet

Deep learning framework to detect and quantify immune morphometric features in lymph nodes

speech-recognition-a-z-with-hands-on

Speech Recognition A-Z with Hands-on [Video], published by Packt

stain-normalization

H&E slides color normalisation using generative adversarial networks

stain-to-stain-translation

Pix2Pix-based Stain-to-Stain Translation: A Solution for Robust Stain Normalization in Histopathology Images Analysis