816 Open source projects that are alternatives of or similar to Deep Unet For Satellite Image Segmentation

Pytorch implementation for LapSRN (CVPR2017)

Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

Season 2 of @twosigma's artificial intelligence programming challenge

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

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

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras

3D Unet biomedical segmentation model powered by tensorpack with fast io speed

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

A concise code for training and evaluating Unet using tensorflow+keras

Minimalist implementation of VQ-VAE in Pytorch

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

Sparse and structured neural attention mechanisms

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)

NVIDIA DeepStream SDK 5.1 configuration for YOLO models

基于u-net，cv2以及cnn的中文车牌定位，矫正和端到端识别软件，其中unet和cv2用于车牌定位和矫正，cnn进行车牌识别，unet和cnn都是基于tensorflow的keras实现

To classify video into various classes using keras library with tensorflow as back-end.

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

Archived - not answering issues

Features a Networking Framework to be used on top of Unity Networking, in order to implement an Authoritative Server with Lag Compensation, Client-Side Prediction/Server Reconciliation and Entity Interpolation

Artificial Intelligence Learning Notes.

Caffe2 implementation of Open Neural Network Exchange (ONNX)

Batch normalization fusion for PyTorch

Arm Machine Learning tutorials and examples

The hottest High Dynamic Range (HDR) Library

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

Deep Learning with TensorFlow by Packt

Modification of convolutional neural net "UNET" for image segmentation in Keras framework

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

Accelerated deep learning R&D

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.

Tensorflow in Docker on Mesos #tfmesos #tensorflow #mesos

Detect the programming language of a source code

Learn applied deep learning from zero to deployment using TensorFlow 1.8+

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

A Compositional Object-Based Approach to Learning Physical Dynamics

Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。

Train and visualize Hierarchical Attention Networks

Open solution to the Data Science Bowl 2018

Implementation of Very Deep Convolutional Neural Network for Text Classification

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

A sign language interpreter using live video feed from the camera.

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

CardIO is a library for data science research of heart signals

Learn OpenCV : C++ and Python Examples

HDLTex: Hierarchical Deep Learning for Text Classification

Udacity Self-Driving Car Engineer Nanodegree projects.

Learning Chinese Character style with conditional GAN

Binary and Categorical Focal loss implementation in Keras.

Generic Foreground Segmentation in Images

Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

oneAPI Deep Neural Network Library (oneDNN)

This is a list of awesome articles about object detection from video.