Rakshith Shetty's repositories
captionGAN
Source code for the paper "Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training"
adversarial-object-removal
Code base for our paper " Adversarial Scene Editing: Automatic Object Removal from Weak Supervision" appearing in NIPS 2018.
A4NT-author-masking
Repository for author masking
dnn-speech
This ist the repository for the term project Speech Recognition using Deep Neural Networks for the course ELEC-E5510-Speech Recognition
py-faster-rcnn-featextract
This is a clone of py faster rcnn -- With additional scripts to extract features for image/video captioning
SimSearch-text
This code implements fast cosine similarity search between text sentences. You have a database of sentences (can be tweets/ documents etc ) and a list of query sentences. This code searches the database and finds the nearest neighbhor to the given queries using cosine similarity. The code supports 1) brute force search 2) Fast exact search by building smart indexes 3) Fast approximate search (given the error tolerance) . It is written in C language and you just need basic c compiler to use the code. It has been tested on linux 64 bit machines
SemanticAdversary
Code for our paper "Towards Automated Testing and Robustification by Semantic Adversarial Data Generation"
CG_assignments
Assignments from the Computer Graphics Course
functional-zoo
PyTorch and Tensorflow functional model definitions
MarkovChnBenchmark
Benchmarking simple markov chain performance with python, Numpy and Theano
myMastersThesisAalto
Latex Source and material for my masters thesis
neuraltalk
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
rakshithShetty.github.io
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