AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charitable hospitals, and organizations like WHO 🌏 We will also release our pretrained models and weights as Medical Imagenet.

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Incremental Learning

Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."

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python machine-learning pytorch convolutional-neural-networks

Core50

CORe50: a new Dataset and Benchmark for Continual Learning

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python deep-learning computer-vision convolutional-neural-networks dataset benchmark paper caffe

3dunet abdomen cascade

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jupyter-notebook deep-learning convolutional-neural-networks segmentation semantic-segmentation fully-convolutional-networks

Label Reg

(This repo is no longer up-to-date. Any updates will be at https://github.com/DeepRegNet/DeepReg/) A demo of the re-factored label-driven registration code, based on "Weakly-supervised convolutional neural networks for multimodal image registration"

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python deep-learning tensorflow convolutional-neural-networks

Image Quality Assessment

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

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python deep-learning machine-learning tensorflow computer-vision aws keras neural-network convolutional-neural-networks e-commerce mobilenet

Fast Autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.

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python deep-learning pytorch computer-vision convolutional-neural-networks cnn distributed image-classification automl automated-machine-learning augmentation

Kerasr

R interface to the keras library

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r machine-learning neural-network convolutional-neural-networks r-package recurrent-neural-networks

Trained Ternary Quantization

Reducing the size of convolutional neural networks

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jupyter-notebook pytorch convolutional-neural-networks quantization

Deep Learning For Beginners

videos, lectures, blogs for Deep Learning

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deep-learning convolutional-neural-networks generative-adversarial-network recurrent-neural-networks

Malware Classification

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

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python deep-learning machine-learning tensorflow computer-vision artificial-intelligence convolutional-neural-networks classification image-classification recurrent-neural-networks artificial-neural-networks supervised-learning malware-detection

Capsnet Pytorch

My attempt at implementing CapsNet from the paper Dynamic Routing Between Capsules

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python deep-learning pytorch convolutional-neural-networks

Text classification

Text Classification Algorithms: A Survey

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python deep-learning convolutional-neural-networks text-classification recurrent-neural-networks nlp-machine-learning text-processing logistic-regression random-forest decision-trees

Niftynet

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

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python python3 python2 deep-learning tensorflow neural-network deep-neural-networks convolutional-neural-networks gan segmentation distributed ml medical-imaging autoencoder pip

Reinforcement Learning For Self Driving Cars

Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.

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python tensorflow reinforcement-learning convolutional-neural-networks self-driving-car

Breast Cancer Classification

Breast Cancer Classification using CNN and transfer learning

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

Tensorflow Cifar 10

Cifar-10 CNN implementation using TensorFlow library with 20% error.

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python tensorflow network convolutional-neural-networks cnn example simple model cifar10 neural

Tf Mobilenet V2

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

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Cnn Graph Classification

A convolutional neural network for graph classification in PyTorch

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python convolutional-neural-networks

Pynq Dl

Xilinx Deep Learning IP

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convolutional-neural-networks vhdl resize convolution

Automatic Image Captioning

Generating Captions for images using Deep Learning

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jupyter-notebook deep-learning convolutional-neural-networks keras-tensorflow lstm-neural-networks image-captioning

Tnn

Biologically-realistic recurrent convolutional neural networks

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python convolutional-neural-networks recurrent-neural-networks neuroscience

Fashion Mnist

A MNIST-like fashion product database. Benchmark 👇

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Facial Expression Recognition

Classify each facial image into one of the seven facial emotion categories considered using CNN based on https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge

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python deep-learning keras convolutional-neural-networks kaggle

Attention Gated Networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

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python convolutional-neural-networks image-classification image-segmentation attention-model

Facial emotion recognition emojifier

Recognizes the facial emotion and overlays emoji, equivalent to the emotion, on the persons face.

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python deep-learning tensorflow convolutional-neural-networks

Neuralnetworkpostprocessing

Unity Post Processing with Convolution Neural Network

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unity convolutional-neural-networks gan pix2pix

Vehicle Retrieval Kcnns

vehicle image retrieval using k CNNs ensemble method

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deep-learning convolutional-neural-networks caffe image-retrieval

Ros Openpose

CMU's OpenPose for ROS

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deep-learning convolutional-neural-networks robotics ros pose-estimation

Emnist

A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.

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python python3 tensorflow keras flask convolutional-neural-networks learning recurrent-neural-networks mnist

Recursive Cnns

Implementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."

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Seranet

Super Resolution of picture images using deep learning

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python deep-learning convolutional-neural-networks super-resolution picture chainer

Elektronn3

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

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python pytorch convolutional-neural-networks semantic-segmentation

Wav2letter

Speech Recognition model based off of FAIR research paper built using Pytorch.

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python deep-learning pytorch convolutional-neural-networks neural-networks speech-recognition speech-to-text asr

Chainer Pspnet

PSPNet in Chainer

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python deep-learning convolutional-neural-networks semantic-segmentation imagenet chainer cityscapes pascal-voc

Rethinking Network Pruning

Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

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python deep-learning pytorch convolutional-neural-networks

Age Gender Estimation

Keras implementation of a CNN network for age and gender estimation

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

Quicknat pytorch

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

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python deep-learning machine-learning pytorch computer-vision ai convolutional-neural-networks segmentation medical-imaging bayesian

Recurrent Environment Simulators

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

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python tensorflow neural-network reinforcement-learning convolutional-neural-networks recurrent-neural-networks deepmind

3d Reconstruction With Neural Networks

3D reconstruction with neural networks using Tensorflow. See link for Video (https://www.youtube.com/watch?v=iI6ZMST8Ri0)

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python deep-learning tensorflow computer-vision neural-network convolutional-neural-networks ml recurrent-neural-networks 3d-reconstruction voxel

Cnn Interpretability

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

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jupyter-notebook deep-learning machine-learning convolutional-neural-networks cnn medical-imaging interpretability

Equivariant Transformers

Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399

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jupyter-notebook computer-vision convolutional-neural-networks

Graph 2d cnn

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

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python deep-learning tensorflow keras artificial-intelligence convolutional-neural-networks neural-networks classification embeddings representation-learning graph-theory

Deep Plant

Deep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.

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python deep-learning convolutional-neural-networks recurrent-neural-networks

Sketchcnn

Robust freeform surface modeling from user 2d sketches.

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python convolutional-neural-networks

Sru Deeplearning Workshop

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

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