golamSaroar/tensorflow-in-practice-specialization

This repository contains notebooks from the Coursera specialization TensorFlow in Practice.

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mbiparva/stnet-object-localization

STNet: Selective Tuning of Convolutional Networks for Object Localization

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rimijoker/Colorization_using_GANs_and_UNet

A fastai implementation of https://arxiv.org/abs/1803.05400

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ZainNasrullah/computer-vision-deep-learning-intro-papers

Collection of annotated papers (from ML in CV) for reference.

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zishun/UprightOrientation

Upright orientation of 3D shapes with convolutional networks

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instadeepai/scaling-resnets

⚡️ A framework that investigates the scaling limit of ResNets and compares it to Neural ODEs. Tested on synthetic and standardized datasets. 📈

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Abhijeet8901/Image-Colorization-using-GANs

Grayscale Image Colorization with Generative Adversarial Networks.

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StivenMetaj/MNR_MUSCIMA_Notes_Recognition

An academic project about the retrieve of information about notes in music sheets using a Faster R-CNN and MUSCIMA++ dataset. The project was made by me and Federico Magnolfi [@fedem96].

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dibsonthis/SimpleFilter

Python module for image convolution and ML classification.

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aliasvishnu/Keras-VGG16-TransferLearning

Transfer learning on VGG16 using Keras with Caltech256 and Urban Tribes dataset. Dark knowledge in transfer learning.

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ntkhoa95/Convolutional-Attention-Neural-Network-for-Induction-Motors

Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors

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bundit/neural-network-digit-recognition

Multi-layered Convolutional Neural Network written in C++11

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mustafa-qamaruddin/restful-pytorch-automation

PyTorch Automation through RESTful APIs with SocketIO and Redis Queues

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Naman-ntc/CIFAR-10-Recognition

Image Recognition on the CIFAR-10 training set using various approaches like Convolutional neural networks, Support Vector Machines, Softmax regression using only Numpy

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aditya9211/Super-Resolution-CNN

Super Resolution's the images by 3x using CNN

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josedolz/3D-F-CNN-BrainStruct

This repository contains materials employed in our work to segment subcortical brain structures by employing a 3D fully Convolutional Neural Network.

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rampage644/qrnn

QRNN model implementation for IMDb dataset sentiment analysis

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farahbakhsh3/DeepAtariLearning

یادگیری ماشین و شبکه عصبی برای یادگیری بازی آتاری

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zsxoff/neural-orthodontic-cephalometry

Convolutional networks detection in cephalometry based on TensorFlow

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jerryyyyy708/Double-UNet_PyTorch

A PyTorch Implementation of Double-UNet

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VishalS99/AutoAlignNN

A DNN based document auto-alignment module, created during my internship in Sutherland.

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Tracun/Image-Classification-CNN

Image Classification using Deep Neural Networks

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gaborvecsei/Variational-Autoencoder

Variational-Autoencoder w/ Convolutional Layers

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AhmetHamzaEmra/Something

My Deep learning Module

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alex-lechner/PyTorch-SSD

Single Shot Multibox Detector trained with the PyTorch library. The code is a modified version from the original "ssd.pytorch" repository by Max deGroot & Ellis Brown.

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schwallie/CarND-SelfDrivingCar

Self-Driving Car Project, Predict a steering angle given an image with Convolutional Neural Nets

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o-ikne/Deep-Learning-Courses

This repository contains labs and tutorials on Convolutional Graph Networks (GCNs).

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NIRVANALAN/PyTorch_UNOdeMSegNet

UNOdeMSegNet for Medical segmentation

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icodingc/CS231n

cs231n@stanford assignment

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JosephChenHub/pytorch-lars

Large Batch Training of Convolutional Networks with Layer-wise Adaptive Rate Scaling

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GustikS/NeuraLifting

Lossless Compression of Structured Convolutional Models via Lifting

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Ashleshk/Deep-Learning.ai-Coursera-Specialization

This repository Consist of Course Material, Assignment And Quizes Attempted in Specialization Course by Coursera

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josebaeza14/DeepLearningClassification-Detection

Memoria del Trabajo Fin de Grado (TFG) "Deep Learning para clasificación y detección de personas", en la que se explican los pasos seguidos para la elaboración de una Red Neuronal Convolucional para Clasificación de personas y otra para Detección. Realizado con la ayuda de la librería TensorFlow en el lenguaje de programación Python

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sfikas/zah

An image descriptor, suitable for keyword spotting, that is computed as a function of Convolutional Neural Network intermediate layer responses. Implemented in MATLAB.

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Chandra-cc/Pneumonia-diagnosis-using-deep-residual-learning-with-a-classification-accuracy-of-98.22

Classification between normal and pneumonia affected chest-X-ray images using deep residual learning along with separable convolutional network(CNN). This methodology involves efficient edge preservation and image contrast enhancement techniques for better classification of the X-ray images.

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matthiasludwig/deep-learning-udacity-material

Material from Udacity for the Deep Learning ND

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lorival/image-classification-by-cifar-10

This project classify images from the CIFAR-10 dataset. The dataset consists of airplanes, dogs, cats, and other objects.

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sam575/cs231n

Implementation of CNN & RNN in Numpy. Image recognition. Image captioning using LSTMs. Style Transfer. Network Visualization. Fooling CNNs. DC-GAN.

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chen0040/keras-image-captioning

Image captioning using recurrent network and convolutional network in Keras

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FlorianCassayre/DeepLearningUtil

A toy library written in Java to better understand Artificial Neural Networks.

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jhole89/convnet-image-classifier

A Convolutional Neural Net utility for image recognition

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ishanbhandari-19/CS231n-2019

My solutions to the assignments of Stanford course CS231n-2019

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enzoblindow/aml-quora-siamese-lstm

Siamese LSTM network for identifying duplicate questions on Quora

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rahulkgup/deep-learning-foundation

Repo for the Deep Learning Nanodegree Foundations program.

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samlkrystof/Stanford-CS231n

Assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

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UpstatePedro/ptcn

Probabilistic Temporal Convolutional Network

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tedyhabtegebrial/GameOfLife

Game of life with the "Game of Life" Convolution Kernel. In honor of John Conway, 1937-2020.

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ruixiao85/LungNeuralNet

Tensorflow Keras Lung

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sichkar-valentyn/Convolutional_Neural_Network

Convolutional Neural Network

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kpandey008/Visualizing-CNNs

This project aims to study the kind of representations learned by ConvNets at different layers.

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rahulchandrangb/DL-TF

Boxing with tensorflow .. Cheers!!

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theshaikasad/DogBreedClassification

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ruchikachavhan/Traffic-Light-Detection-using-Tensorflow

Detection of the direction of green light arrow(up, right and left).

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cnavneet/notMNIST

Identifying text in images in different fonts using deep neural network techniques.

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tmsbn/ArcGIS-Map-Predictor

Analyze ArcGIS aerial imagery using Convolutional Neural Networks

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VincentStimper/AFM-Image-Segmentation

Atomic Force Microscopy (AFM) images with DNA strands and nucleosome can be segmented by Fully Convolutional Neural Networks (FCN). This repository contains scripts to design, train and validate them.

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sudarshaana/Deep-Learning-Specialization

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bill-kalog/cnn-sent

convnet for sentiment analysis

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adnaanz/lsu

Compute LSU factorization of a matrix in PyTorch

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Shashu0581/DART

DART (Diffusion-Autoregressive Recursive Transformer) is a novel hybrid architecture that combines diffusion-based and autoregressive approaches for text generation.

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barisgudul/FurVision

🐾 FurVision: Advanced CNN for Cat/Dog Classification

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AntoineBendafiSchulmann/doc_detector_pl

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AndyVale/convolutional_benchmarks_vnncomp

This repository contains a collection of convolutional benchmarks from VNNCOMP 2022-2024. It is designed to offer a more organized version of the existing benchmarks, making it easier to test new software. We recommend cloning the 'benchmarks_vnncomp' repository, which includes this repository as a submodule.

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sangingeum/Machine-Learning-Implementation

ML implementations for me to look up

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pi-tau/deep-conv-nets

Modern deep convolutional neural networks implemented with PyTorch <3

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Jonyzim/Computer_Vision_Project

Convolutional network for 0 to 9 digit classification, trained with MNIST database. Using Tensorflow library in Python.

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LiyaUnknown/convolutional_nural_network

in this repository i write a simple convolutional nural network model using tensorflow and keras 📌📚 my medium account 👇

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tanjeffreyz/deep-residual-learning

PyTorch implementations of the deep residual networks published in "Deep Residual Learning for Image Recognition" by Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun

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tanjeffreyz/lenet-5

PyTorch implementation of LeNet-5 published in "Gradient-Based Learning Applied to Document Recognition" by Y. Lecun, L. Bottou, Y. Bengio, P. Haffner

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Yzma-Robotics/CNN-P1

Convolution Neural Network

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Yzma-Robotics/CNN-P2

Convolution Neural Network

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zsxoff/deep-learning-brain-segmentation

Brain segmentation for the 2D images using convolutional neural network

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ValeriiSielikhov/DeepLearning.AI

Neural Networks and Deep Learning, Convolutional Neural Networks, Sequence Models

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rogerlucena/neural-transfer-style Fork of maurock/neural_transfer_style

Transfer painting styles to chosen images with Deep Learning

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DanielBustillos/deep-learning-projects-Udacity

Repository of the Udacity's Deep Learning Nanodegree program.

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lucciffer/coursera-deep-learning-specialization

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matiashrnndz/tensorflow

Projects done for Tensoflow Developer Professional Certification that DeepLearning.ai offers.

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maikelroennau/dlec

DLEC - Deep Learning Emotion Classifier

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adityakuppa26/CS231N-Assignment-Solutions

Solutions for Stanford's CS231N: Convolutional Neural Networks for Visual Recognition Course Assignment Solutions

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yasheymateen/Transfer-Learning_Convolutional_Network

Python script that trains a convolutional neural network to classify the CIFAR 10 dataset using the InceptionV3 Convolutional model.

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golamSaroar/deep-learning-specialization

This repository contains notebooks from the Coursera specialization Deep Learning.

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YolandaAlvarez/Dog-Breed-Classifier

Project for the module Convolutional Neural Networks for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

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shrikantnaidu/Deep-Learning-By-Udacity

Deep Learning Nanodegree Course Content

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AhmedWYousif/deep-learning-coursera

Deep Learning Specialization on Coursera - deeplearning.ai - by Andrew Ng.

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PeterJochem/MNIST_GAN

Generative Adversarial Network in Keras

Language: Python - Size: 51.1 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

worldofsaad/Deep-Learning-KERAS

Building a regression model using the Keras library. Building a classification model using the Keras library. The difference between the shallow and deep neural networks. Convolutional networks and how to build them using the Keras library. Recurrent Neural Networks. Autoencoders and how to build them using the Keras library.

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hsusanoo/image-correction

processing pgm images using convolution product

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oleges1/PML

Practical Machine Learning

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sudopower/Neural-Streets

Neural Network for Street Sign Recognition for Self Driving Cars and Dash Cam Apps

Language: Java - Size: 36.6 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

zadahmed/Convolutional-Neural-Networks-1

cnn

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chl218/Machine-Learning

Stanford Machine Learning on Coursera

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deepakkavoor/FashionMNIST-using-PyTorch

Neural Network Classifier on FashionMNIST

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CT83/Womens-Ecommerce-Clothing-Reviews-CNN-for-Sentence-Classification-in-Keras Fork of alexander-rakhlin/CNN-for-Sentence-Classification-in-Keras

Convolutional Neural Networks for Sentence Classification in Keras

Language: Python - Size: 82 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 2

mustafa-qamaruddin/pytorch-training-automation

PyTorch Deep Learning Training Automation Scripts

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Ashish-Gupta03/Avito-Demand-Prediction

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rtspeaks360/lane-segmentation-for-SDCs

Label the pixels of a road in images using a Fully Convolutional Network (FCN). Implementation in tensorflow.

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bachelor10/gatherer

Language: Python - Size: 61.5 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

htonyl/fx-cnn Fork of PonyGE/PonyGE2

Automatic feature extraction for CNNs using genetic programming

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toderesa97/NeuralNetworkRepo

This repo aims at understanding the theory behind NNs

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pursh2002/Deeplearning.ai_by_Andrew_NG.md

Self study/Practice material through Coursera Deeplearning Specialisation Dr Purshottam

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