style-transfer-app
cnnimageretrieval-pytorch
| style-transfer-app | cnnimageretrieval-pytorch | |
|---|---|---|
| 1 | 1 | |
| 2 | 1,375 | |
| - | - | |
| 0.0 | 3.2 | |
| over 2 years ago | almost 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
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style-transfer-app
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A dual application (web + Telegram bot) for stylization images.
Share my recent pet project (github).
cnnimageretrieval-pytorch
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[R] Any Content Based Image Retrieval Pretrained Models?
https://github.com/filipradenovic/cnnimageretrieval-pytorch is still probably the best one that is public.
What are some alternatives?
prism - High Resolution Style Transfer in PyTorch with Color Control and Mixed Precision :art:
SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.
aiogram - aiogram is a modern and fully asynchronous framework for Telegram Bot API written in Python using asyncio
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
pytorch-neural-style-transfer - Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.
TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD
pytorch-AdaIN - Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]
stereo-image-generation - This repository contains code to generate stereo (Side by side) image from a single image.
on9wordchainbot - Telegram word chain bot
DOLG-pytorch - Unofficial PyTorch Implementation of "DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features"
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
SparK - [ICLR'23 Spotlightš„] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"