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Generate openapi spec api documentation from captured har files
The fastai book, published as Jupyter Notebooks
Interactive data analytics
PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)
faithful colorization of greyscale images by building a convolutional neural network model using keras with tensorflow as backend.
Coloring black and white images with deep learning.
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Pretty Tensor: Fluent Networks in TensorFlow
A Convolutional Neural Network implemented from scratch (using only numpy) in Python.
statistics collector written primarily for gunicorn, but usable on anything that can do a pre_request and a post_request action and report time taken; this repo is for historical reference only, cu…
Neural network visualization toolkit for tf.keras
Convnet and autoencoder used to estimate age from fish scales
Classification of object in a specific image region using a convolutional neural net with ROI mask as input
Eye Disease Classification using google images data
Repository for all the tutorials and codes shared at cv-tricks.com
Python Package for Visualising Convolution Neural Network Features and Intermediate Activation.
Step-By-Step Implementation of R-CNN from scratch in python
R-CNN: Regions with Convolutional Neural Network Features
This repository contains the code explaining the class activation maps
Pytorch implementation of convolutional neural network visualization techniques
Keras documentation, hosted live at keras.io
Layers Outputs and Gradients in Keras. Made easy.
Python code for the semi-supervised learning method particle competition and cooperation