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

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

Official implementation of "DCT-Net: Domain-Calibrated Translation for Portrait Stylization", SIGGRAPH 2022 (TOG); Multi-style cartoonization

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

CVPR2023 (highlight) - A Dynamic Multi-Scale Voxel Flow Network for Video Prediction

Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum

This project has two parts. In part one, we use markov random field to denoise an image. In Part two, we use similar model for image segmentation.

The notebook explains the various steps to obtain the results of publication: "Is Space-Time Attention All You Need for Video Understanding?"

A Python implementation of Approximate Message Passing (AMP) algorithms for LASSO

A PyTorch implementation of TVC

Trained an End-to-End model for deblurring of celebrity faces (CelebA).

Inception Recurrent Convolutional Neural Network

Attention-based Domain Adaptation for Single Stage Detectors