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Name: Aashish Kumar
Type: User
Name: Aashish Kumar
Type: User
code for "Isolating Sources of Disentanglement in Variational Autoencoders".
Object detection, 3D detection, and pose estimation using center point detection:
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
Computes the MWER (minimum WER) Loss with CTC beam search. Knowledge distillation for CTC loss.
A PyTorch implementation of "Real-time Scene Text Detection with Differentiable Binarization".
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
Official pytorch implementation for "Deep Video Inpainting" (CVPR 2019)
End-to-End Object Detection with Transformers
Tensorflow implementation of DETR : Object Detection with Transformers
DB (Real-time Scene Text Detection with Differentiable Binarization) implementation in Keras and Tensorflow
Experiments for understanding disentanglement in VAE latent representations
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
Implementing the Fast-SCNN neural network on Keras (Tensorflow 2.0 backend)
TensorFlow 2 implementation of Fast-SCNN
Implementation of the paper "Full Page Handwriting Recognition via Image to Sequence Extraction" by Singh et al. (2021).
Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)
Simple, extendable, easy to understand Glow implementation in PyTorch
Handwriting-Transformers (ICCV21)
Handwritten Text Recognition (HTR) using TensorFlow 2.x
Implementation of Hausdorff loss function for DNN learning in segmentation tasks.
Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition. This is a ServiceNow Research project that was started at Element AI.
Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
Automatic Image Stacking in OpenCV
[S+SSPR2020] IterDet: Iterative Scheme for Object Detection in Crowded Environments
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:
This is an implementation of Adversarial Discriminative Domain Adaptation using Keras for the purpose of visualizing the intermediate activations in a variational approximation of total correlation.
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.