537 Open source projects that are alternatives of or similar to Convnetdraw

A curated list of resources focused on Machine Learning in Geospatial Data Science.

A image registration method using convolutional neural network features.

Anomaly detection implemented in Keras

[UNMAINTAINED] 非监督特征学习与深度学习中文教程，该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程，该门课程在网易云课堂上也有一个配有中文字幕的版本。

Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow

Implementation of a hierarchical CNN based model to detect Big Five personality traits

Outdated, see new https://github.com/braindecode/braindecode

Keras tutorial for beginners (using TF backend)

Repository for most of the code from my YouTube channel

A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.

A subclass of {android.view.View} class for creating a custom circular progressBar

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS

Drawing and Geometry made easy on iOS - now in Swift 3.0

Multi-view CNN (MVCNN) for shape recognition

A best practice for tensorflow project template architecture.

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

A light-weight, power efficient, and general purpose convolutional neural network

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

Deep Learning Computer Vision Algorithms for Real-World Use

tensorflow implementation of Grad-CAM (CNN visualization)

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

A canvas you can draw on with different colors.

BCDU-Net : Medical Image Segmentation

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

NodeJS《你画我猜》游戏

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.

Dataset of images of trash; Torch-based CNN for garbage image classification

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

A modern PyTorch implementation of SRGAN

Implementation of State-of-the-art Text Classification Models in Pytorch

Pixel art animation and drawing web app powered by React

Convolutional neural networks for artistic style transfer.

Draw a tree in Android。在 Android 上绘制思维导图控件，让思维更简单。

Vehicle detection using YOLO in Keras runs at 21FPS

Generates a cloud out of the words.

Keras- Multi Label Image Classification

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

A brand logo detection system using tensorflow object detection API.

Simple and comprehensive tutorials in TensorFlow

Code examples for new APIs of iOS 10.

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)

Velocity in deep-learning research

Unofficial PyTorch Reimplementation of RandAugment.

Keras implementation of Non-local Neural Networks

This is an open sourced book on deep learning.

About using of canvas in the flutter

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Machine learning algorithms for many-body quantum systems

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Changed the default ARKit project to draw a line where the camera is positioned

Convolutional Neural Network for Human Activity Recognition in Tensorflow

RMDL: Random Multimodel Deep Learning for Classification

Face landmarks(fiducial points) detection benchmark

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks