6607 Open source projects that are alternatives of or similar to Breast Cancer Classification

Hiding Images within other images using Deep Learning

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

PyTorch tutorial for learners

Keras tutorial for beginners (using TF backend)

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

3-day dive into deep learning at csc

Pruning and other network surgery for trained TF.Keras models.

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

Generating Captions for images using Deep Learning

https://arxiv.org/abs/1707.00836

Exploratory Project on Fast Screen Space Global Illumination

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

High Quality Monocular Depth Estimation via Transfer Learning

IEEE "Invited Talk on Deep Learning" 03/02/2018

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

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.

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

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

Create automatic playlists by using Deep Learning to *listen* to the music

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"

Application of machine learning to the Coinbase (GDAX) orderbook

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Keras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.

This classifier use Convolution Neural Network approch for kaggle problem to classify Cat vs Dog images.

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

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

CNN 1D vs 2D audio classification

Build an OCR for iOS apps

Repo for Tang et al, bioRxiv 454793 (2018)

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

Skin cancer classification using Inceptionv3

Service Classification based on Service Description

Try out deep learning models online on Google Colab

Keras implementation of the multi-channel cascaded architecture introduced in the paper "Brain Tumor Segmentation with Deep Neural Networks"

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

Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction

List of papers, code and experiments using deep learning for time series forecasting

Visualisations for Convolutional Neural Networks in Pytorch

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

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

The Official Deep Learning Framework for Route-based Place Recognition

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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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

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

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

📢 Ready to learn or review your knowledge!

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

My Solution to Assignments of CS231n in Winter2016

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

Keras implementation of a CNN network for age and gender estimation

Emotion recognition using DNN with tensorflow