Raghu Ghanapuram's repositories
awesome-sec-talks
A collected list of awesome security talks
BasicSR
Basic Super-Resolution Toolbox, including SRResNet, SRGAN, ESRGAN, etc.
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
focusstack
Simple Focus Stacking in Python: Merge a collection of photos taken at different focus depths into one image with sharp focus
GMM
Gaussian Mixture Models 2D
Image-feature-detection-using-Phase-Stretch-Transform
PST or Phase Stretch Transform is an operator that finds features in an image. PST takes an intensity image I as its input, and returns a binary image out of the same size as I, with 1's where the function finds sharp transitions in I and 0's elsewhere.
Image-Super-Resolution
Implementation of Super Resolution CNN in Keras.
jupyter
Jupyter metapackage for installation, docs and chat
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
LapSRN
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution (CVPR 2017)
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
neural-enhance
Super Resolution for images using deep learning.
paperwork
:paperclip: Using scanners and OCR to grep paper documents the easy way (Linux only)
pentestpackage
a package of Pentest scripts I have made or commonly use
pure-bash-bible
📖 A collection of pure bash alternatives to external processes.
raghughanapuram.github.io
Home page
Single-Image-Super-Resolution
A collection of high-impact and state-of-the-art SR methods
spatial-transformer-network
A Tensorflow Implementation of Spatial Transformer Networks
SRLab
single image super resolution algorithm implementation
subpixel
subpixel: A subpixel convnet for super resolution with Tensorflow
Super-Resolution.Benckmark
Benchmark and resources for single super-resolution algorithms
tensorflow-101
TensorFlow 101: Introduction to TensorFlow
the-art-of-command-line
Master the command line, in one page
Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network
unsupervised-videos
Unsupervised Learning of Video Representations using LSTMs
video-enhancement
A list of resources for video enhancement, including video super-resolutio, interpolation, denoising, compression artifact removal et al..
video_to_sequence
Implementation of "Sequence to Sequence – Video to Text"