Implementation of papers in 100 lines of code.
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Updated
Oct 19, 2024 - Python
Implementation of papers in 100 lines of code.
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.
Custom Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
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 "Evolution Strategies as a Scalable Alternative to Reinforcement Learning" OpenAI paper
Deep Learning Paper Implementations in PyTorch
Transfering color texture between images
Unofficial implementation of STAN paper published at ISBI 2020 by researchers from University of Idaho using Tensorflow Keras 2.0.
Implementation of Hopfield Neural Network in Python based on Hebbian Learning Algorithm
Implementation of paper 'Two Step Approach for Single Underwater Image Enhancement'
🧠 ResNet: Deep Residual Learning for Image Recognition
dynnode2vec is a python package that implements algorithms to embed dynamic graphs
This is the MATLAB implemenation of paper published in IEEE Transactions on Neural Networks and Learning Systems Date'2017 PubMed ID: 29028213
An implementation of the paper "Context-aware Captions from Context-agnostic Supervision"
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.
VGGNet-Family (11, 13, 16 & 19) Implementation to train on ImageNet 2012 using Tensorflow 2.x
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