Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for batch normalization
batch-normalization
x
84 search results found
Pytorch Tutorial
⭐
7,372
Build your neural network easy and fast, 莫烦Python中文教学
Tensorflow Tutorial
⭐
3,873
Tensorflow tutorial from basic to hard
Cnn Models
⭐
348
ImageNet pre-trained models with batch normalization for the Caffe framework
Sealion
⭐
328
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
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
Deconvolution
⭐
176
Ai Algorithm Engineer Knowledge
⭐
176
努力成为一名合格有水平的AI算法工程师
Tensorflow Mnist Cnn
⭐
171
MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.
Dsbn
⭐
134
Official Implementation of "Domain Specific Batch Normalization for Unsupervised Domain Adaptation (CVPR2019)"
Cifar10 Img Classification Tensorflow
⭐
125
image classification with CIFAR10 dataset w/ Tensorflow
Icellr
⭐
114
Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq, scATAC-seq, CITE-Seq and Spatial Transcriptomics (ST)).
Deep Learning Specialization Coursera
⭐
92
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
Cnaps
⭐
83
Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Normalization for Meta-Learning"
Feed Forward Style Transfer
⭐
80
TensorFlow implementation of real-time style transfer using feed-forward generation. This builds on the original style-transfer algorithm and allows for common personal computers to transform images.
Powernorm
⭐
78
[ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845
Inceptionbn 21k For Caffe
⭐
76
Inception-BN ImageNet (21K classes) model for Caffe
Neural Style Mmd
⭐
70
MXNet Code For Demystifying Neural Style Transfer (IJCAI 2017)
Cross Iterationbatchnorm
⭐
65
Machine Learning In Python Workshop
⭐
54
My workshop on machine learning using python language to implement different algorithms
Online Normalization
⭐
53
Online Normalization for Training Neural Networks (Companion Repository)
Camera Based Person Reid
⭐
51
The official code for ECCV2020 "Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization"
Keras Swa
⭐
48
Simple stochastic weight averaging callback for Keras
Tensorflow Mnist Mlp Batch_normalization Weight_initializers
⭐
46
MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.
Batch Normalization
⭐
41
Implementation of Batch Normalization Layer by Theano. Test Code with MNIST data.
Math_object_detection
⭐
38
An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.
Dcgan
⭐
37
PyTorch implementation of DCGAN
Iebn
⭐
37
The official implementation of paper "Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise".
Batch_normalization
⭐
36
Batch Normalization Layer for Caffe
Sandwich Batch Normalization
⭐
35
[WACV 2022] "Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity" by Xinyu Gong, Wuyang Chen, Tianlong Chen and Zhangyang Wang
Amusingpythoncodes
⭐
34
Interesting python codes to tackle simple machine/deep learning tasks
Caffe Mt
⭐
32
This is a fork of caffe added some useful layers, the original caffe site is https://github.com/BVLC/caffe.
Ndsb
⭐
26
Kaggle NDSB competition with deep learning
Onnxtocaffe
⭐
25
pytorch -> onnx -> caffe, pytorch to caffe, or other deep learning framework to onnx and onnx to caffe.
Lol Match Prediction
⭐
24
Win probability predictions for League of Legends matches using neural networks
Cdcgan
⭐
23
PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)
Keras_attentivenormalization
⭐
23
Unofficial Keras implementation of the paper Attentive Normalization.
Caffe Instance Normalization And Guided Instance Normalization
⭐
22
caffe implement
Bnn_nobn
⭐
20
[CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang
Efficientdet
⭐
20
PyTorch Implementation of the state-of-the-art model for object detection EfficientDet [pre-trained weights provided]
Groupnormalization Tensorflow Keras
⭐
19
a Tensorflow implementation of Group Normalizations
Deep Learning For Contact_map_v2
⭐
19
Prediction of protein contact map
Ugan Pytorch
⭐
18
Color restoration of underwater images with UGAN, implemented with PyTorch.
Dl Hw2
⭐
17
Deep Learning Homework 2
Bnet
⭐
17
Batch Normalization with Enhanced Linear Transformation
Deeplearning_from_scratch
⭐
16
A Deep Learning framework for CNNs and LSTMs from scratch, using NumPy.
Ml Papers
⭐
16
Collection of (deep) machine learning papers
Pointnet2 Tensorflow2
⭐
15
Pointnet++ modules implemented as tensorflow 2 keras layers.
Kalman Normalization
⭐
15
Code of "Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches"
Meanteacher Sntg Hybridnet
⭐
14
This is the Pytorch Re-Implementation of three Semi Supervised Classification method on Cifar-100 Dataset using ConvLarge Architecture
Bntt Batch Normalization Through Time
⭐
14
Accepted to Frontiers in Neuroscience (2021)
Stochastic Batch Normalization
⭐
14
Uncertainty Estimation via Stochastic Batch Normalization
Training Batchnorm And Only Batchnorm
⭐
13
Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.
Batchnormalization_keras
⭐
12
Source code for "One simple trick to train Keras model faster with Batch Normalization"
Sdpoint
⭐
12
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
Chexpert
⭐
11
Multi-label, multi-class classification of chest X-ray images using PyTorch
Pytorch Syncbn
⭐
10
Synchronized Multi-GPU Batch Normalization for PyTorch based on https://github.com/tamakoji/pytorch-syncbn
Deeplearning
⭐
9
A deep neural network package for R
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
Neuralnetwork
⭐
9
Neural Network implementation in Numpy and Keras. Batch Normalization, Dropout, L2 Regularization and Optimizers
Instance_normalization_chainer
⭐
9
chainer v2 implementation of instance normalization
Pvanet_train
⭐
8
code fixed from https://github.com/sanghoon/pva-faster-rcnn
Dropout Vs Batch Normalization
⭐
8
Dropout vs. batch normalization: effect on accuracy, training and inference times - code for the paper
Ml Tune Mode Convbn
⭐
7
Tune-Mode ConvBN Blocks For Efficient Transfer Learning
Bninterpolation
⭐
7
Training scripts and Python modules for the ECCV 2018 paper "Interpolating Convolutional Networks Using Batch Normalization"
Mxnet2tf
⭐
7
MxNet to TensorFlow converter
Crnn End To End
⭐
6
A CRNN python implement based on TensorFlow
Batch Renorm
⭐
6
A Tensorflow re-implementation of batch renormalization, first introduced by Sergey Ioffe.
Adda Pytorch
⭐
6
Implementation of Adverserial Discriminative Domain Adaptation from https://arxiv.org/abs/1702.05464
Deeplearning
⭐
6
implement MLP, CNN RNN using chainer
Gan
⭐
6
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.
Networks
⭐
6
Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.
Tensorflow Cvae
⭐
6
Implementation of the Conditional Variational Auto-Encoder (CVAE) in Tensorflow
Pvanet
⭐
6
PVANET: Lightweight Deep Neural Networks for Real-time Object Detection
Image_classification_api
⭐
6
Image classification API using Deep Learning
Gan_image_colorizing
⭐
5
Image colorization with generative adversarial networks on the CIFAR10 dataset.
Pytorch Synchronized Batchnorm
⭐
5
Synchronized batchnorm for pytorch
Enet_chainer
⭐
5
Implementation of ENet by chainer
Multilabel Image Classification Using Contractive Autoencoder
⭐
5
Implementing contractive auto encoder for encoding cloud images and using that encoding for multi label image classification
1-84 of 84 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.