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Phani Krishna Uppala's Projects

bicycle_gan icon bicycle_gan

Implementation of the paper - Toward Multimodal Image-to-Image Translation

blog icon blog

My Blog - summaries of some deep learning papers i have read.

caffe icon caffe

Caffe: a fast open framework for deep learning.

cleverhans icon cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

drl_in_cv icon drl_in_cv

A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

drl_in_cv_papers icon drl_in_cv_papers

Research publications in Computer Vision Journals and Conferences (and arxiv) using RL.Visit Website:

e2e-mlt icon e2e-mlt

E2E-MLT - an Unconstrained End-to-End Method for Multi-Language Scene Text

folderview icon folderview

flask app to display folder, subfolders and html reports in them.

gd-uap icon gd-uap

Generalization Data-free Universal Adversarial Perturbations

html4vision icon html4vision

A simple HTML visualization tool for computer vision research :hammer_and_wrench:

mdepth icon mdepth

Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions

monodepth icon monodepth

Unsupervised single image depth prediction with CNNs

multi_arm_bandits icon multi_arm_bandits

A simple implementation of the multi_arm_bandit problem which can be used in Open AI gym as well.

nag icon nag

[CVPR 2018] Code for NAG : Network for adversary generation

parscript icon parscript

Parallel or distributed execution of jobs :parking:

setup_utils icon setup_utils

Curation of installation setup for packages i used, and know will be needed in future.

sketch-parse icon sketch-parse

Code, demos and data for SketchParse (a neural network for sketch segmentation). Paper:

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-classification icon tensorflow-classification

A unified program to check predictions of different convolutional neural networks for image classification.

tmux_nested icon tmux_nested

To facilitate the usage of tmux, both in remote and local shells.

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