Implementation of papers in 100 lines of code.
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Updated
May 4, 2024 - Python
Implementation of papers in 100 lines of code.
Custom Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.
PyTorch implementations of some FPN-based semantic segmentation architectures: vanilla FPN, Panoptic FPN, PANet FPN; with ResNet and EfficientNet backbones.
This is a PyTorch implementation of the the Paper by Simo-Sera et.al. on Cleaning Rough Sketches using Fully Convolutional Neural Networks.
Unofficial implementation of the paper "Learning to reconstruct botanical trees from single images"
Implementation of Hopfield Neural Network in Python based on Hebbian Learning Algorithm
Implementation of paper 'Two Step Approach for Single Underwater Image Enhancement'
This is the MATLAB implemenation of paper published in IEEE Transactions on Neural Networks and Learning Systems Date'2017 PubMed ID: 29028213
Repository for `Glassy dynamics using Quantum Computers` Team in Qiskit Hackathon Europe
Implementation of the study: "The Use of Deep Learning to Predict Stroke Patient Mortality" by Cheon et al.
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
Here we deal with the issue of fairness in machine learning classification algorithm and we try to exploit regularization technique to attain fairness.
Unofficial python implementation of the paper "Lazy Random Walks for Superpixel Segmentation"
Deep Learning Paper Implementations in PyTorch
Implementation of paper 'Identification and Translation of Idiomatic Sentence from Hindi to English'
Implementation of verification algorithms for the Pareto-Rational Verification problem (PRV problem).
VGGNet-Family (11, 13, 16 & 19) Implementation to train on ImageNet 2012 using Tensorflow 2.x
This is a code implemention for paper "Self-Attention Autoencoder for Anomaly Segmentation"
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