fatimagulomova/deep-learning-course

Deep Learning Courses

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MorvanZhou/PyTorch-Tutorial

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

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harinik05/LeukoDif

Denoising diffusion medical model (DDMM) for diagnosis of Acute Lymphoblastic Leukemia

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apple/ml-tune-mode-convbn

Tune-Mode ConvBN Blocks For Efficient Transfer Learning

Language: Python - Size: 702 KB - Last synced: 11 days ago - Pushed: 10 months ago - Stars: 14 - Forks: 0

rezakj/iCellR

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)).

Language: R - Size: 68.2 MB - Last synced: 21 days ago - Pushed: about 2 months ago - Stars: 117 - Forks: 19

abaybektursun/why-batchNorm-works

Source Code For: Why Does Batch Normalization Work?

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adityab/CrossQ

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

Language: Python - Size: 5.67 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 29 - Forks: 2

Oulu-IMEDS/pytorch_bn_fusion

Batch normalization fusion for PyTorch

Language: Python - Size: 54.7 KB - Last synced: 2 days ago - Pushed: about 4 years ago - Stars: 194 - Forks: 29

VITA-Group/BNN_NoBN

[CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang

Language: Python - Size: 310 KB - Last synced: about 1 month ago - Pushed: over 2 years ago - Stars: 54 - Forks: 10

anish-lakkapragada/SeaLion

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

Language: Python - Size: 37.9 MB - Last synced: 11 days ago - Pushed: 6 months ago - Stars: 333 - Forks: 35

soloice/mnist-bn

Using slim to perform batch normalization

Language: Python - Size: 718 KB - Last synced: about 2 months ago - Pushed: over 5 years ago - Stars: 60 - Forks: 18

26hzhang/AmusingPythonCodes

Interesting python codes to tackle simple machine/deep learning tasks

Language: Python - Size: 1.07 GB - Last synced: about 2 months ago - Pushed: over 1 year ago - Stars: 35 - Forks: 27

ZFTurbo/Pretrained-VGG-neural-nets-in-TensorFlow

Set of VGG neural net models for TensorFlow. Weights converted from Pytorch.

Language: Python - Size: 5.86 KB - Last synced: 2 months ago - Pushed: about 2 years ago - Stars: 1 - Forks: 0

cvjena/cnn-models

ImageNet pre-trained models with batch normalization for the Caffe framework

Language: Python - Size: 3.36 MB - Last synced: about 2 months ago - Pushed: over 6 years ago - Stars: 361 - Forks: 161

twke18/Adaptive_Affinity_Fields 📦

Adaptive Affinity Fields for Semantic Segmentation

Language: Python - Size: 2.63 MB - Last synced: 14 days ago - Pushed: over 5 years ago - Stars: 260 - Forks: 62

vicaaa12/Deep-Neural-Networks

Neural Network

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manashpratim/Deep-Learning-From-Scratch

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lovesaroha/Learning-Neural-Networks

Various concepts of neural networks applied in python (numpy) to help people get started with AI.

Language: Python - Size: 17.6 KB - Last synced: 4 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

kiwi12138/RealisticTTA

Official repository for AAAI2024 paper <Unraveling Batch Normalization for Realistic Test-Time Adaptation>.

Language: Python - Size: 519 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 2 - Forks: 1

srinadhu/convolutional_nn

Implemented fully-connected DNN of arbitrary depth with Batch Norm and Dropout, three-layer ConvNet with Spatial Batch Norm in NumPy. The update rules used for training are SGD, SGD+Momentum, RMSProp and Adam. Implemented three block ResNet in PyTorch, with 10 epochs of training achieves 73.60% accuracy on test set.

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RimTouny/Weed-Species-Classification-and-Bounding-Box-Regression

Leveraging advanced image processing and deep learning, this project classifies plant images using a subset of the Plant Seedlings dataset. The dataset includes diverse plant species captured under varying conditions. This project holds significance within my Master's in Computer Vision at uOttawa (2023).

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parasdahal/deepnet

Educational deep learning library in plain Numpy.

Language: Python - Size: 40 KB - Last synced: 21 days ago - Pushed: almost 2 years ago - Stars: 319 - Forks: 83

Cyril9227/Keras_AttentiveNormalization

Unofficial Keras implementation of the paper Attentive Normalization.

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Cyril9227/Keras_IEBN

Unofficial Keras implementation of the paper Instance Enhancement Batch Normalization.

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lyttonhao/Neural-Style-MMD

MXNet Code For Demystifying Neural Style Transfer (IJCAI 2017)

Language: Python - Size: 5.52 MB - Last synced: 3 months ago - Pushed: about 7 years ago - Stars: 83 - Forks: 22

mohadeseh-ghafoori/Coursera-Deep-Learning-Specialization

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Yuanzhe-Jia/BNNAS Fork of bychen515/BNNAS

BN-NAS: Neural Architecture Search with Batch Normalization

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tooth2/Traffic-Light-Classification

A open-cv and CNN(Tensorflow) implementation to detect Traffic light (red, yellow, green) state

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tooth2/Celeb-Face-Generation

A PyTorch Implementation of DCGAN on a dataset of celebrity faces.

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tooth2/House-Number-Recognition

Using DCGAN, detect and recognize house number from google street view

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Connor-Shen/Exploration-on-Batch-Normalization

In this PJ I build a simple Conv2d network and implement some beneficial modifications based on it. Meanwhile, by researching into the BatchNorm algorithm, I verify its benefits on a variety of procedures.

Language: Python - Size: 5.66 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

sahildigikar15/Different-CNN-Architectures-on-MNIST-dataset-

Experimented with different architectures and kernels on MNIST dataset using Convolutional Neural Networks.

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sahildigikar15/MLP-Architetures-on-MNIST-dataset

Experimented with different architectures on MNIST dataset using MLPs with different dropouts.

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eigenfoo/batch-renorm

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

Language: Python - Size: 752 KB - Last synced: 21 days ago - Pushed: about 3 years ago - Stars: 13 - Forks: 0

osu-cvl/revisiting-bn-init

Code for "Revisiting Batch Norm Initialization".

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m-vidal/functional-whitening

M. Vidal & A. M. Aguilera. Novel whitening approaches in functional settings. Stat, 12(1), e516.

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somefunAgba/deeplearningWithMatlabinPy

Investigating the Behaviour of Deep Neural Networks for Classification

Language: Python - Size: 1.15 MB - Last synced: 6 months ago - Pushed: over 5 years ago - Stars: 1 - Forks: 0

AdalbertoCq/Deep-Learning-Specialization-Coursera

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

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johnathanalyst/Coursera-Deep-Learning

A five-course specialization covering the foundations of Deep Learning, from building CNNs, RNNs & LSTMs to choosing model configurations & paramaters like Adam, Dropout, BatchNorm, Xavier/He initialization, and others.

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tamakoji/pytorch-syncbn

Synchronized Multi-GPU Batch Normalization

Language: Python - Size: 20.5 KB - Last synced: 6 months ago - Pushed: about 5 years ago - Stars: 223 - Forks: 22

snrazavi/Machine-Learning-in-Python-Workshop

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

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philipperemy/keras-mode-normalization

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

Language: Python - Size: 240 MB - Last synced: 18 days ago - Pushed: about 4 years ago - Stars: 6 - Forks: 1

Baksonator/fashionMNIST-classifier Fork of raf-bsn/ML-project2

Convoluted Neural Network for classifying the FashionMNIST data set. Recognition of multiple clothing objects on the same picture with noise using the trained model and OpenCV.

Language: Python - Size: 66.5 MB - Last synced: 8 months ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0

Hsnmhmd/Vision

in this repo, you will find implementation of various classification models, data augmantation ,cnn designing and model reguralization

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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.

Language: Python - Size: 1.62 MB - Last synced: 7 months ago - Pushed: over 7 years ago - Stars: 52 - Forks: 17

hugohiraoka/Bank_Customer_Churn_Prediction

Model to predict bank customer churn

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hugohiraoka/Identifying_Plant_Seedlings_Images

A CNN model to identify images of plant seedlings.

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ilango100/batch_norm

My experiments with Batch Normalization

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Si-ddhartha/BatchNorm_Before_vs_After

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hwixley/MLP-coursework2-report

Machine Learning Practical - Coursework 2 Report: Analysing problems with the VGG deep neural network architectures (with 8 and 38 hidden layers) on the CIFAR100 dataset by monitoring gradient flow during training. And exploring solutions using batch normalization and residual connections.

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hwixley/MLP-coursework2

Machine Learning Practical - Coursework 2: Analysing problems with the VGG deep neural network architectures (with 8 and 38 hidden layers) on the CIFAR100 dataset by monitoring gradient flow during training. And exploring solutions using batch normalization and residual connections.

Language: Python - Size: 3.37 GB - Last synced: 9 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

khare19yash/CS231n

CS231n course assignment

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KimRass/data_augmentation_and_regularization

Study on image data augmentation and regularization methodologies

Language: Python - Size: 12.6 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 2 - Forks: 0

bryant1410/dl-assignment2-cs231n

My solution to the 2nd assignment of UdelaR's Deep Learning course, based on Stanford CS231n.

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AdalbertoCq/NeuralNetwork

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

Language: Python - Size: 8.01 MB - Last synced: 10 months ago - Pushed: almost 5 years ago - Stars: 16 - Forks: 6

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.

Language: Python - Size: 3.24 MB - Last synced: 10 months ago - Pushed: almost 7 years ago - Stars: 79 - Forks: 33

byelipk/deeper-mnist

Using advanced deep learning techniques on the MNIST dataset. Over 98% validation set accuracy.

Language: Python - Size: 10.8 MB - Last synced: 10 months ago - Pushed: about 7 years ago - Stars: 0 - Forks: 0

twcmchang/MLDS2017Final

Why Batch Normalization Works so Well (best peer-reviewed project at MLDS, 2017 Spring)

Language: Python - Size: 17.6 KB - Last synced: 10 months ago - Pushed: over 6 years ago - Stars: 2 - Forks: 0

zeyuanyin/BN-ViT

Unofficial pytorch implementation of paper ''Leveraging Batch Normalization for Vision Transformers''

Language: Python - Size: 97.7 KB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

meutsabdahal/Image-Classification-using-Deep-Learning

Sentiment Analysis Using Tensorflow

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meryemtetik/Image_Classification

CIFAR10 Dataset.

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sabrid369/BFMD-SN-U-net

The open source code for the paper "Block Attention and Switchable Normalization based Deep Learning Framework for Segmentation of Retinal Vessels"

Language: Python - Size: 110 KB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 2 - Forks: 1

tayebiarasteh/DeepLearning_from_scratch

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

Language: Python - Size: 11.8 MB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 16 - Forks: 2

hwalsuklee/tensorflow-mnist-cnn

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

Language: Python - Size: 168 MB - Last synced: 6 months ago - Pushed: almost 6 years ago - Stars: 195 - Forks: 96

MarcosVeniciu/Inception_V1

Implementação da rede neural convolucional Inception V1 utilizando tensorflow 2 e Batch Normalization

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santiagoahl/dogs-vs-cats

Dogs Vs Cats is a CNN based model. Its purpose is to classify a images dataset into two classes: Cats and Dogs.

Language: Jupyter Notebook - Size: 163 KB - Last synced: 12 months ago - Pushed: 12 months ago - Stars: 0 - Forks: 0

bhattbhavesh91/batch-normalization-demo

In this tutorial, I'll show how Batch normalization can be used for improving the speed, performance, and stability for Neural Networks.

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xternalz/SDPoint

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

Language: Python - Size: 10.7 KB - Last synced: 30 days ago - Pushed: over 4 years ago - Stars: 18 - Forks: 4

saqib1707/Advanced-ML-Project

Project Repository for CS 726 (Advanced Machine Learning)

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jaunel/CNN-Image-Classifier

A Image classification CNN model with more than 85% accuracy. An interactive API is been designed using flask framework for better user experience. Techniques like batch normalization, dropouts is used for improved accuracy.

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abhiram-ds/Gesture_Recognition_CNN

Gesture recognition using Convolutional Neural Networks

Language: Jupyter Notebook - Size: 258 KB - Last synced: 12 months ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0

karoly-hars/GAN_image_colorizing

Image colorization with generative adversarial networks on the CIFAR10 dataset.

Language: Python - Size: 1.72 MB - Last synced: 26 days ago - Pushed: over 4 years ago - Stars: 10 - Forks: 4

StevenRice99/Wall-Following-Robot-Navigation

Wall-Following Robot Navigation

Language: Python - Size: 172 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

bkhanal-11/neural-network-from-scratch

This is the implementation of neural network with few hidden layers. These implementation is inspired by the course I took on Coursera with deeplearning.ai.

Language: Python - Size: 2.61 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

shantanu1109/Coursera-DeepLearning.AI-GANs-Specialization

This Repository Contains Solution to the Assignments of the Generative Adversarial Networks (GANs) Specialization from deeplearning.ai on Coursera Taught by Sharon Zhou, Eda Zhou, Eric Zelikman

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Justsecret123/One-Piece-Image-Classifier

A quick image classifier trained with manually selected One Piece images.

Language: Jupyter Notebook - Size: 83.3 MB - Last synced: 11 months ago - Pushed: about 2 years ago - Stars: 1 - Forks: 1

Adarsh-sophos/Deep-Learning

Deep Learning by Andrew Ng

Language: Jupyter Notebook - Size: 131 MB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 1 - Forks: 0

Kthyeon/FedSup

[Official] ICML 2022 workshop: Dynamic Neural Networks, Oral Paper, "SUPERNET TRAINING FOR FEDERATED IMAGE CLASSIFICATION UNDER SYSTEM HETEROGENEITY"

Language: Python - Size: 1.19 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

shiranzada/pure-noise

Official implementation for "Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images" https://arxiv.org/abs/2112.08810

Size: 1.04 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 7 - Forks: 0

vamshikallem/Pytorch_Audio-Emotion-Classifier

Training a model using CNN's to predict the emotion class of an Audio file in pytorch framework.

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agoila/batch-norm

Batch Normalization in standard neural nets using TensorFlow

Language: Jupyter Notebook - Size: 11.5 MB - Last synced: about 1 year ago - Pushed: over 6 years ago - Stars: 1 - Forks: 0

ayansengupta17/GAN

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.

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sayakpaul/Training-BatchNorm-and-Only-BatchNorm

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

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Grafit24/DL-Framework-Numpy

Фреймворк глубоко обучения на Numpy, написанный с целью изучения того, как все работает под "капотом".

Language: Python - Size: 1.17 MB - Last synced: 12 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

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.

Language: Python - Size: 413 MB - Last synced: about 1 year ago - Pushed: about 6 years ago - Stars: 59 - Forks: 17

rahultg08/amazon-from-space

Deep Learning: CNN Model

Language: Jupyter Notebook - Size: 396 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

fau-masters-collected-works-cgarbin/dropout-vs-batch-normalization

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

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Yskandar/Coding-Deep-Neural-Networks-From-Scratch

In this project, I coded Deep Neural Networks from scratch: using only Numpy. I implemented different layers: Fully Connected, Convolutional, Dropout. I also implemented Batch Normalization. I vectorized the entire process to reduce computational time.

Language: Jupyter Notebook - Size: 430 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

davidmasse/neural-net-1D-audio

One-dimensional convolutional neural networks: classifying sounds and peeling the layers

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mohadeseh-ghafoori/Residual-Networks

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mohadeseh-ghafoori/Face-Recognition

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mohadeseh-ghafoori/Trigger-Word-Detection

Language: Jupyter Notebook - Size: 1.82 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

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

Language: Python - Size: 21.9 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 48 - Forks: 5

fazelelham32/DL-ML_in_Python-workshop

Deep Learning and Machine Learning in Python

Size: 2.93 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

AngusG/bn-advex-zhang-fixup

Code for ResNet-Fixup experiments as part of "Batch Norm is a Cause of Adversarial Vulnerability" presented at http://deep-phenomena.org/

Language: Python - Size: 12.4 MB - Last synced: about 1 year ago - Pushed: almost 5 years ago - Stars: 3 - Forks: 0

NinaadRao/Multilabel-Image-Classification-using-Contractive-Autoencoder

Implementing contractive auto encoder for encoding cloud images and using that encoding for multi label image classification

Language: Jupyter Notebook - Size: 17.8 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 10 - Forks: 4

DunittMonagas/Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization

Curso Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization. Segundo curso del programa especializado Deep Learning. Este repositorio contiene todos los ejercicios resueltos. https://www.coursera.org/learn/neural-networks-deep-learning

Language: Jupyter Notebook - Size: 729 KB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 3 - Forks: 3

deep-learning-algorithm/GoogLeNet

Implementation of GoogLeNet series Algorithm

Language: Python - Size: 491 KB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 5 - Forks: 3

santiagoahl/cifar10-classification

Image classification using a CNN architecture.

Language: Jupyter Notebook - Size: 12.9 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

stnamjef/SimpleNN

A simple neural network library in C++

Language: C++ - Size: 16.2 MB - Last synced: 11 months ago - Pushed: almost 3 years ago - Stars: 2 - Forks: 0