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ClimaxW
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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
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
