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Name: Aashish Kumar
Type: User
Name: Aashish Kumar
Type: User
A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
Custom Loss Functions in Keras
Tutorial on Laplacian Image Blending
MintNet: Building Invertible Neural Networks with Masked Convolutions
This repository contains the official implementation of the research paper, "An Improved One millisecond Mobile Backbone".
MNIST dataset with multiple digits. This dataset can be use for learning number (more than 1 digit) regconizer model.
The state-of-the-art image restoration model without nonlinear activation functions.
Implementation of our paper 'PixelLink: Detecting Scene Text via Instance Segmentation' in AAAI2018
PixelLink-with-pytorch
pixellink in keras
This repository is based on Ultralytics/yolov5, with adjustments to enable polygon prediction boxes.
Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning
A PyTorch implementation for Adversarial Discriminative Domain Adaptation
Implemented digit detector in natural scene. I used SVHN as the training set, and implemented it using keras-retinanet.
Adversarial Generation of Handwritten Text Images
A collection of loss functions for medical image segmentation
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
High-Resolution Image Synthesis with Latent Diffusion Models
Python implementation of and experiments with the Stroke Width Transformation and connected components filtering.
TF 2 implementation of ADDA paper
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Just draw a bounding box and you can remove the object you want to remove.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.