572 Open source projects that are alternatives of or similar to Estimated Depth Map Helps Image Classification

Skin cancer classification using Inceptionv3

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

Descriptive Deep Learning

Medical image analysis framework merging ANTsR and deep learning

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約

Switchable Normalization for semantic image segmentation and scene parsing.

Rare pupper image compression model for word-embedding-esque operations.

CNN visualization tool in TensorFlow

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

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Deploy a Deep Learning Powered "Magic Cropping Tool" using Pre-Trained Open Source Models

TensorFlow and Deep Learning Tutorials

A small and pure Numpy Convolutional Neural Network library.

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Deep Learning for Time Series Classification

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

Header-only library for using Keras models in C++.

Deep learning for price movement prediction using high frequency limit order data

Evaluation of the CNN design choices performance on ImageNet-2012.

Convolutional Neural Network for 3D meshes in PyTorch

🔈 Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

CNN accelerator

Stanford Unsupervised Feature Learning and Deep Learning Tutorial

🎨 A CNN visualizer

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

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

A Real-time Mario Kart AI using CNNs, Offline Search, and DAGGER

On-device image recognition via TensorFlow/Inception. For Cordova/PhoneGap.

Real time emotion recognition

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

This is a new web-based photo management application. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, location awareness, color analysis and other ML algorithms.

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

A large-scale dataset of both raw MRI measurements and clinical MRI images

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

Code for FCHD - A fast and accurate head detector

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

Neural network inference the Unix way

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

Models and code related to sketch simplification of rough sketches.

Text classifier for Hierarchical Attention Networks for Document Classification

Music recommender using deep learning with Keras and TensorFlow

Java Convolutional Neural Network example for Hand Writing Digit Recognition

📷 Point your camera at things to learn how to say them in a different language. Android app built with React Native.

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

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

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

🏞🌉 Find and Delete Duplicate Images / Photos

Digit recognition with Convolutional Neural Networks in WebGL

Exploratory Project on Fast Screen Space Global Illumination

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition

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

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

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

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

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

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

Tensorflow-based CNN+LSTM trained with CTC-loss for OCR