515 Open source projects that are alternatives of or similar to Chexnet Keras

Play deep learning with CIFAR datasets

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Various CNN models for CIFAR10 with Chainer

This is a Tensorflow implementations of paper "Deep Alignment Network: A convolutional neural network for robust face alignment".

Tensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015)

3D image classification using CNN (Convolutional Neural Network)

keras project that parses and analyze english resumes

CNN for Chinese Text Classification in Tensorflow

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

HDLTex: Hierarchical Deep Learning for Text Classification

Neural networks toolbox focused on medical image analysis

Topic-Aware Convolutional Neural Networks for Extreme Summarization

Build a CNN network to predict 3D bounding box of car from 2D image.

Deep-Learning Model Exploration and Development for NLP

Deep learning codes and projects using Python

A generalized gradient-based CNN visualization technique

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

A multi-channel neural network audio classifier using Keras

Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

A deep learning framework for molecular docking

papers on scalable and efficient machine learning systems

TensorFlow Tutorials

CNN image style transfer 🎨.

Naszilla is a Python library for neural architecture search (NAS)

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)

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

Medical image registration using deep learning

Accelerate Neural Net Training by Progressively Freezing Layers

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

Weakly Supervised Learning for Findings Detection in Medical Images

A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

Simplify the training and tuning of Tensorflow models

A High-Quality Real Time Upscaler for Anime Video

PyTorch implementation of Super SloMo by Jiang et al.

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

A modern deep learning framework built to accelerate research and development of AI systems

MetalImage is more faster and powerful than opengles for iOS. It is very similar to GPUImage framework, but perform a better 3D rendering and multithreads computing abilities.

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

OSMDeepOD - OpenStreetMap (OSM) and Machine Learning (Deep Learning) based Object Detection from Aerial Imagery (Formerly also known as "OSM-Crosswalk-Detection").

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

A Complete and Simple Implementation of MobileNet-V2 in PyTorch

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

A specially designed light version of Fast AutoAugment

Supervised Semantics-preserving Deep Hashing (TPAMI18)

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR