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

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Finetuning AlexNet, VGGNet and ResNet with TensorFlow

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

A journey into Convolutional Neural Network visualization

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

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

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

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

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

A machine learning experiment

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

Image Deblurring using Generative Adversarial Networks

Medical image registration using deep learning

Implementation of Very Deep Convolutional Neural Network for Text Classification

Accelerate Neural Net Training by Progressively Freezing Layers

brain.js is a GPU accelerated library for Neural Networks written in JavaScript.

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

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

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

Udacity Self-Driving Car Engineer Nanodegree projects.

Weakly Supervised Learning for Findings Detection in Medical Images

Important paper implementations for Question Answering using PyTorch

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

A binary library for very fast face detection using compact CNNs.

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).

S. Su, M. Delbracio, J. Wang, G. Sapiro, W. Heidrich, O. Wang. Deep Video Deblurring. CVPR 2017, Spotlight

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

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

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

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

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

Be Driven 🚘

Simplify the training and tuning of Tensorflow models

Crack detection for an autonomous UAV

A High-Quality Real Time Upscaler for Anime Video

Identifying people from small audio fragments

PyTorch implementation of Super SloMo by Jiang et al.

SHAInet - a pure Crystal machine learning library

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

Quantization of Convolutional Neural networks.

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

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

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

Labeled images of the Where's Waldo puzzle for use in classification and image recognition problems.

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

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

Weakly Supervised Deep Detection Networks (CVPR 2016)

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.

easy convolution neural network

🔥🌟《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!

Reproduce CheXNet

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

A specially designed light version of Fast AutoAugment

Supervised Semantics-preserving Deep Hashing (TPAMI18)

A simple interface for editing natural photos with generative neural networks.

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

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

A curated list of dedicated resources and applications

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.