Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

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Tf eeglearn

A tensorflow implementation for EEGLearn

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python deep-learning convolutional-neural-networks

Pointcnn

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

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python machine-learning deep-neural-networks convolutional-neural-networks robotics classification segmentation point-cloud autonomous-driving pointcloud

Minkowskiengine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

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Didn

Pytorch Implementation of "Deep Iterative Down-Up CNN for Image Denoising".

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Cnn graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

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jupyter-notebook deep-learning convolutional-neural-networks graphs

Roadway intel

Vehicle make and model classification in Tensorflow by fine-tuning VGG16

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python machine-learning tensorflow convolutional-neural-networks

Feathercnn

FeatherCNN is a high performance inference engine for convolutional neural networks.

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Feel The Kern

Generating proportional fonts with deep learning

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python deep-learning machine-learning convolutional-neural-networks theano lasagne

Keras model compression

Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"

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Cyclegan Qp

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

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Big transfer

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

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python deep-learning pytorch convolutional-neural-networks transfer-learning imagenet

Mtlnas

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

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Convisualize nb

Visualisations for Convolutional Neural Networks in Pytorch

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Data Science Bowl 2018

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

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python deep-learning tensorflow computer-vision convolutional-neural-networks cnn segmentation kaggle medical-imaging instance-segmentation unet competition

Very Deep Convolutional Networks For Natural Language Processing In Tensorflow

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

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jupyter-notebook convolutional-neural-networks text-classification

Eeg classification

EEG Sleep stage classification using CNN with Keras

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Image Captioning

Image Captioning: Implementing the Neural Image Caption Generator with python

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Estimated Depth Map Helps Image Classification

Depth estimation with neural network, and learning on RGBD images

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Trafficvision

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.

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Numpy Convnet

A small and pure Numpy Convolutional Neural Network library.

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Deepseqslam

The Official Deep Learning Framework for Route-based Place Recognition

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Tensorflow Cnn Time Series

Feeding images of time series to Conv Nets! (Tensorflow + Keras)

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Accurate Binary Convolution Network

Binary Convolution Network for faster real-time processing in ASICs

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Switchnorm segmentation

Switchable Normalization for semantic image segmentation and scene parsing.

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python convolutional-neural-networks segmentation cityscapes

Keras Sincnet

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

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Meshcnn

Convolutional Neural Network for 3D meshes in PyTorch

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Ml In Tf

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

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Yolo tensorflow

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.

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Yolo Object Detection Tensorflow

YOLO: Real-Time Object Detection using Tensorflow and easy to use

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Svhn Cnn

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

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Efficientnas

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

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Antsrnet

Medical image analysis framework merging ANTsR and deep learning

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Computervision Recipes

Best Practices, code samples, and documentation for Computer Vision.

Dynamic Gcnn

Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation

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python tensorflow convolutional-neural-networks

Jsi Gan

Official repository of JSI-GAN (Accepted at AAAI 2020).

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Yann

This toolbox is support material for the book on CNN (http://www.convolution.network).

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Hardhat Detector

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

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Picasso

🎨 A CNN visualizer

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Tensorflowhandwritingrecognition

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

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Pro gan pytorch Examples

Examples trained using the python pytorch package pro-gan-pth

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Textclassifier

Text classifier for Hierarchical Attention Networks for Document Classification

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Reading comprehension tf

Machine Reading Comprehension in Tensorflow

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Constrained attention filter

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

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Teacher Student Training

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

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Tensorflow Srgan

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

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Deepmodels

TensorFlow Implementation of state-of-the-art models since 2012

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Pathology Images Analysis Using Cnn

Scripts for https://www.nature.com/articles/s41598-018-27707-4, using Convolutional Neural Network to detect lung cancer tumor area