BRDNet

Training-BatchNorm-and-Only-BatchNorm

Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.

TensorFlow-Keras-Bootcamp

Learned how Neural Networks, Multi-Layer Perceptron and Convolutional Neural Networks are used fo...

deep_image_prior

Image Operations without training using deep image prior

very-deep-convnets-raw-waveforms

Tensorflow - Very Deep Convolutional Neural Networks For Raw Waveforms - https://arxiv.org/pdf/16...

cnn-raccoon

Create interactive dashboards for your Convolutional Neural Networks with a single line of code!

keras-faster-rcnn

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

vkCaptchaBreaker

VKontakte captcha bypass with pseudoCRNN model running as a chrome extension, Python, JS, 2020

noise2noise

An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration withou...

convolutional-neural-network-image_recognition_case_study

Computer Vision Case Study in image recognition to classify an image to a binary class, based on ...

Amazon-Forest-Computer-Vision

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of Py...

Keras.NET

Keras.NET is a high-level neural networks API for C# and F#, with Python Binding and capable of r...

keras-mode-normalization

Keras Implementation of Mode Normalization (Lucas Deecke, Iain Murray, Hakan Bilen, 2018)

deep-learning-random-explore

nfnets-keras

Keras implementation of Normalizer-Free Networks and SGD - Adaptive Gradient Clipping

keras-resnet

Residual networks implementation using Keras-1.0 functional API