This is the MATLAB implemenation of paper published in IEEE Transactions on Neural Networks and Learning Systems Date'2017 PubMed ID: 29028213
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Updated
May 7, 2018 - C
This is the MATLAB implemenation of paper published in IEEE Transactions on Neural Networks and Learning Systems Date'2017 PubMed ID: 29028213
Implementation of paper 'Two Step Approach for Single Underwater Image Enhancement'
An implementation of the paper "Context-aware Captions from Context-agnostic Supervision"
An implementation of the the paper "Image-to-Image Translation with Conditional Adversarial Networks" by Isola et al.
Implementation of Hopfield Neural Network in Python based on Hebbian Learning Algorithm
This is a PyTorch implementation of the the Paper by Simo-Sera et.al. on Cleaning Rough Sketches using Fully Convolutional Neural Networks.
Fork for integrating loss approximation models in MATPOWER's DC power flow functions
Python implementation of the research paper with the same title published in the PLOS Computational Biology journal. Link to the paper: https://doi.org/10.1371/journal.pcbi.0020006
Unofficial implementation of STAN paper published at ISBI 2020 by researchers from University of Idaho using Tensorflow Keras 2.0.
Custom Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
The implementation in C++ of the closest-pair doubling algorithm which finds the smallest distance between two points in a metric space in O(n log n) time without directly using the points' coordinates.
Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.
Deep Learning Paper Implementations in PyTorch
A simple PyTorch implementation of Ian Goodfellow's original Generative Adversarial Network.
Implementation of paper 'Identification and Translation of Idiomatic Sentence from Hindi to English'
implementation of "Evolution Strategies as a Scalable Alternative to Reinforcement Learning" OpenAI paper
Implementation of the study: "The Use of Deep Learning to Predict Stroke Patient Mortality" by Cheon et al.
Probability distribution learning with GANs - DCGAN, CycleGAN
Optimal Transport GAN - OTGAN
This repository is my journey towards learning ML which contains all my coding experiments ... :)
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