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Aashish Kumar's Projects

beta-tcvae icon beta-tcvae

code for "Isolating Sources of Disentanglement in Variational Autoencoders".

centernet icon centernet

Object detection, 3D detection, and pose estimation using center point detection:

crossdomainfewshot icon crossdomainfewshot

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)

ctc-optimizedloss icon ctc-optimizedloss

Computes the MWER (minimum WER) Loss with CTC beam search. Knowledge distillation for CTC loss.

db icon db

A PyTorch implementation of "Real-time Scene Text Detection with Differentiable Binarization".

deblurganv2 icon deblurganv2

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

detr icon detr

End-to-End Object Detection with Transformers

detr-tensorflow icon detr-tensorflow

Tensorflow implementation of DETR : Object Detection with Transformers

disentangling-vae icon disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

doctr icon doctr

docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

fast-scnn-keras icon fast-scnn-keras

Implementing the Fast-SCNN neural network on Keras (Tensorflow 2.0 backend)

gin icon gin

Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)

glow-pytorch icon glow-pytorch

Simple, extendable, easy to understand Glow implementation in PyTorch

hausdorffloss icon hausdorffloss

Implementation of Hausdorff loss function for DNN learning in segmentation tasks.

highres-net icon highres-net

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.

ib-inn icon ib-inn

Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)

iterdet icon iterdet

[S+SSPR2020] IterDet: Iterative Scheme for Object Detection in Crowded Environments

joint-vae icon joint-vae

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:

keras-adda icon keras-adda

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.

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