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keras-ocr

A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.

keras-weighted-hausdorff-distance-loss

Custom Loss Functions in Keras

laplacian_blend

Tutorial on Laplacian Image Blending

lighting-the-darkness-in-the-deep-learning-era-open

mintnet

MintNet: Building Invertible Neural Networks with Masked Convolutions

ml-mobileone

This repository contains the official implementation of the research paper, "An Improved One millisecond Mobile Backbone".

multi-mnist

MNIST dataset with multiple digits. This dataset can be use for learning number (more than 1 digit) regconizer model.

nafnet

The state-of-the-art image restoration model without nonlinear activation functions.

pixel_link

Implementation of our paper 'PixelLink: Detecting Scene Text via Instance Segmentation' in AAAI2018

pixellink-with-pytorch

PixelLink-with-pytorch

pixellink_keras

pixellink in keras

polygonobjectdetection

This repository is based on Ultralytics/yolov5, with adjustments to enable polygon prediction boxes.

promcse

Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning

pytorch-adda

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

retinanet-digit-detector

Implemented digit detector in natural scene. I used SVHN as the training set, and implemented it using keras-retinanet.

scrabble-gan

Adversarial Generation of Handwritten Text Images

segloss

A collection of loss functions for medical image segmentation

simplehtr

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

stablediffusion

High-Resolution Image Synthesis with Latent Diffusion Models

stroke-width-transform

Python implementation of and experiments with the Stroke Width Transformation and connected components filtering.

tf2_adda

TF 2 implementation of ADDA paper

trans-encoder

Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations

transfer-learning-library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

uda_poseestimation

video-object-removal

Just draw a bounding box and you can remove the object you want to remove.

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite