Awesome Open Source

Programming Languages

Search results for deep learning batch normalization

batch-normalization x

deep-learning x

22 search results found

Deepnet ⭐ 267

Implementations of CNNs, RNNs and deep learning techniques in pure Numpy

Tensorflow Enet ⭐ 236

TensorFlow implementation of ENet

Colorizing With Gans ⭐ 233

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

Adaptive_affinity_fields ⭐ 224

Adaptive Affinity Fields for Semantic Segmentation

Pytorch Syncbn ⭐ 199

Synchronized Multi-GPU Batch Normalization

Pytorch_bn_fusion ⭐ 192

Batch normalization fusion for PyTorch

Cifar10 Img Classification Tensorflow ⭐ 125

image classification with CIFAR10 dataset w/ Tensorflow

Deep Learning Specialization Coursera ⭐ 92

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

Machine Learning In Python Workshop ⭐ 54

My workshop on machine learning using python language to implement different algorithms

Keras Swa ⭐ 48

Simple stochastic weight averaging callback for Keras

Keras_attentivenormalization ⭐ 23

Unofficial Keras implementation of the paper Attentive Normalization.

Deep Learning For Contact_map_v2 ⭐ 19

Prediction of protein contact map

Ml Papers ⭐ 16

Collection of (deep) machine learning papers

Deeplearning_from_scratch ⭐ 16

A Deep Learning framework for CNNs and LSTMs from scratch, using NumPy.

Pointnet2 Tensorflow2 ⭐ 15

Pointnet++ modules implemented as tensorflow 2 keras layers.

Training Batchnorm And Only Batchnorm ⭐ 13

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

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks

Deeplearning ⭐ 9

A deep neural network package for R

Neuralnetwork ⭐ 9

Neural Network implementation in Numpy and Keras. Batch Normalization, Dropout, L2 Regularization and Optimizers

Revisiting Bn Init ⭐ 9

Code for "Revisiting Batch Normalization".

Coursera Ng Improving Deep Neural Networks Hyperparameter Tuning Regularization And Optimization ⭐ 9

Short description for quick search

Dropout Vs Batch Normalization ⭐ 8

Dropout vs. batch normalization: effect on accuracy, training and inference times - code for the paper

We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS.

Batch Renorm ⭐ 6

A Tensorflow re-implementation of batch renormalization, first introduced by Sergey Ioffe.

Enet_chainer ⭐ 5

Implementation of ENet by chainer

Gan_image_colorizing ⭐ 5

Image colorization with generative adversarial networks on the CIFAR10 dataset.

Related Searches

Python Deep Learning (13,092)

Jupyter Notebook Deep Learning (10,328)

Deep Learning Pytorch (6,767)

Deep Learning Tensorflow (5,868)

Deep Learning Neural Network (5,801)

Deep Learning Convolutional Neural Networks (4,142)

Deep Learning Neural (3,734)

Network Deep Learning (3,532)

Deep Learning Computer Vision (3,365)

Deep Learning Keras (3,258)

1-22 of 22 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.