batch-normalization 开源项目推荐（252 个）

MorvanZhou /PyTorch-Tutorial

Build your neural network easy and fast, 莫烦Python中文教学

cvjena /cnn-models

ImageNet 为 Caffe 框架提供带有批处理规范化的预训练模型

anish-lakkapragada /SeaLion

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

parasdahal /deepnet

Deep learning library in plain Numpy.

AdalbertoCq /Deep-Learning-Specialization-Coursera

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

twke18 /Adaptive_Affinity_Fields

Adaptive Affinity Fields for Semantic Segmentation

tamakoji /pytorch-syncbn

Synchronized Multi-GPU Batch Normalization

hwalsuklee /tensorflow-mnist-cnn

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

imedslab /pytorch_bn_fusion

Batch normalization fusion for PyTorch. This is an archived repository, which is not maintained.

rezakj /iCellR

iCellR is an interactive R package designed to facilitate the analysis and visualization of high-throughput single-cell sequencing data. It supports a variety of single-cell technologies, including scRNA-seq, scVDJ-seq, scATAC-seq, CITE-Seq, and Spatial Transcriptomics (ST).

snrazavi /Machine-Learning-in-Python-Workshop

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

adityab /CrossQ

Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"

lyttonhao /Neural-Style-MMD

MXNet Code For Demystifying Neural Style Transfer (IJCAI 2017)

mkeid /Feed-Forward-Style-Transfer

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.

stevenobadja /math_object_detection

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.

soloice /mnist-bn

Using slim to perform batch normalization

hwalsuklee /tensorflow-mnist-MLP-batch_normalization-weight_initializers

MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.

VITA-Group /BNN_NoBN

[CVPRW 21]“BNN - BN = ？《训练无批次归一化的二进制神经网络》，陈天龙、张振宇、徐欧阳、刘泽春、沈志强、王张阳

minihat /LoL-Match-Prediction

Win probability predictions for League of Legends matches using neural networks

VITA-Group /Sandwich-Batch-Normalization

[WACV 2022] "Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity" by Xinyu Gong, Wuyang Chen, Tianlong Chen and Zhangyang Wang