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latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

liftedgan

(CVPR 2021) Lifting 2D StyleGAN for 3D-Aware Face Generation

marketgan

Implementing a Generative Adversarial Network on the Stock Market

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mesh-transformer-jax

Model parallel transformers in JAX and Haiku

meshcnn

Convolutional Neural Network for 3D meshes in PyTorch

mgan

Source code for the paper MGAN: Training Generative Adversarial Nets With Multiple Generators

mlops-course

A project-based course on the foundations of MLOps with a focus on intuition and application.

models

Models and examples built with TensorFlow

modern-computer-vision-with-pytorch

Modern Computer Vision with PyTorch, published by Packt

molecularnodes

Addon and nodes for working with structural biology and molecular data in Blender.

painttransformer

PyTorch implementation of paper: Paint Transformer: Feed Forward Neural Painting with Stroke Prediction, ICCV 2021.

pix2pix

Image-to-image translation with conditional adversarial nets

pri3d

[ICCV'21] Pri3D: Can 3D Priors Help 2D Representation Learning?

pytorch

Deep Learning Zero to All - Pytorch

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

restoregan

sahi

A lightweight vision library for performing large scale object detection/ instance segmentation.

segmentation-of-teeth-in-panoramic-x-ray-image-using-u-net

The aim of this study is automatic semantic segmentation in one-shot panoramic x-ray image by using deep learning method with U-Net Model and binary image analysis in order to provide diagnostic information for the management of dental disorders, diseases, and conditions.

simba

SimBA (Simple Behavioral Analysis), a pipeline and GUI for developing supervised behavioral classifiers

sl-cyclegan-blind-motion-deblurring-in-cycles-using-sparse-learning

SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse Learning

srn-deblur

Repository for Scale-recurrent Network for Deep Image Deblurring

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

stylegan2

StyleGAN2 - Official TensorFlow Implementation with practical improvements

stylegan2-ada

StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation

taichi

Productive & portable high-performance programming in Python.

tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

torchinfo

View model summaries in PyTorch!

universal_head_3dmm

This is a Project Page of 'Towards a complete 3D morphable model of the human head'

usrnet

Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)