eshwarkamal's Stars
faif/python-patterns
A collection of design patterns/idioms in Python
zhiwehu/Python-programming-exercises
100+ Python challenging programming exercises
ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
vdumoulin/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
TheOdinProject/curriculum
The open curriculum for learning web development
rasbt/python_reference
Useful functions, tutorials, and other Python-related things
anandpawara/Real_Time_Image_Animation
The Project is real time application in opencv using first order model
mbadry1/Top-Deep-Learning
Top 200 deep learning Github repositories sorted by the number of stars.
krasserm/super-resolution
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
HasnainRaz/Fast-SRGAN
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
yuanjunchai/IKC
Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)
naver-ai/c3-gan
Official Pytorch implementation of C3-GAN (Spotlight at ICLR 2022)
wonbeomjang/ESRGAN-pytorch
re-implementation super resolution pytorch using ESRGAN
dgriffiths3/ml_segmentation
Machine learning semantic segmentation - Random Forest, SVM, GBC
harsh1795/CNN-DICOM-Segmentation
DICOM Image Segmentation with CNNs in Tensorflow
sharmasw/Data-Science-with-python
This repo has all the required materials of the Data science with python video series.
yashk2000/Image-Processing
A set of algorithms and other cool things that I learned while doing image processing with openCV using C++ and python.
kozistr/ESRGAN-tensorflow
Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution
aqibsaeed/Tensorflow-ML
Different machine learning algorithms implementation in Tensorflow
LucNies/ecg-classification
Using LSTMs to classify ECG signals in several different heart diseases. Data from the PTB diagnostic database.
Amit097/CNN-SVM_Img-Classification
An Architecture Combining CNN and SVM for Image Classification
u7javed/Image-Super-Resolution-Enhancer-via-ESRGAN
The utilities developed in this tool are based off of the ESRGAN Paper:This tool enhance image resolution quality using deep convolutional neural networks. The idea is two train two neural networks to work against each other (the fundamental principle of Generative Adversarial Networks or GAN for short). A Generator is first trained a specified number iterations over the ground truth pixel loss using Mean Absolute Error or L1Loss. After the period of pixel loss is finished, the GAN is also tested on content loss (perceptual similarity) as well as the minimax GAN loss. The Discriminator is also introduced being trained on GAN loss.
vishal1905/Super-Resolution
A pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
dhinkris/medical-imaging
Medical Image Processing Techniques
HackBinghamtonArchives/Intermediate-Python-Tutorial
🐍 Repo for a HackBU workshop on some Intermediate Python practices, just a step above basic for loops and if statements and what not.
jain-aayush/EverythingGANs
In this project, I create several Generative Adversatial Network models for various Image to Image translation tasks. The models were first trained using tensorflow. Then, I use Flask to create a web-based implementation for uploading images and getting the augmented image.
HyeongJu916/Boaz-SR-ESRGAN-PyTorch
german0/Diabetic-Foot-Classification
manishdhakal/SuperResolution
Super Resolution | GAN | Neural Networks
ProGrad-Junior/session-1-html-css-lessons