Name: Harsha Nelaturu
Type: User
Bio: Visual Computing, Saarland 2023 | MIT 2018 | Prev Rediscovery.io, RunwayML, Responsive Environments, MIT Media Lab, .
Twitter: Sree_Harsha_N
Location: Germany
Blog: nelaturuharsha.github.io
Harsha Nelaturu's Projects
The code for the CVPR2019 paper Bi-Directional Cascade Network for Perceptual Edge Detection
Runway Port of BigBiGAN from the paper "Large Scale Adversarial Representation Learning"
Pytorch and Torch testing code of CartoonGAN [Chen et al., CVPR18]
An easy-to-read implementation of DeblurGAN
we generate deep greeting cards for major festivals
we generate deep greeting cards for major festivals
Demo code of the paper: "Deep Image Harmonization", Y.-H. Tsai, X. Shen, Z. Lin, K. Sunkavalli, X. Lu and M.-H. Yang, CVPR 2017
Human Presence Detection using Raspberry Pi and ConvNets.
A from scratch implementation of a Convolutional Neural Network for classification on the DeepSat-6 Dataset which was available on GitHub
PyTorch Lightning implementation of DnCNN (Denoising Convolution Neural Network)
Code for Deep Single-image Portrait Image Relighting
Official pyTorch implementation of "Dynamic-Net: Tuning the Objective Without Re-training for Synthesis Tasks" experiments
[Preprint] "EnlightenGAN: Deep Light Enhancement without Paired Supervision"
Customized and Personal greeting cards using artificial intelligence and augmented reality
FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.
$ git remote <graduation> yearbook
Using Identification trees to recommend activity to people based on certain parameters.
Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
Experimenting with JAX, maybe eventually build a model fine-tuning platform
M²: Meshed-Memory Transformer for Image Captioning
Roadmap to learn AI for associates at Minsky Lab@Next Tech Lab
A Numpy based implementation of a Feed Forward Neural Network to solve the XOR Problem.
Tensorflow Implementation of Neural Artistic Style Transfer using VGG-19.
Project for Optimization in Machine Learning
Video Streaming Service for the Differently abled and to serve as a bridge for people of different cultures.
a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version