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

DLTK Model Zoo

The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.

repo that holds code for improving on dropout using Stochastic Delta Rule

Stochastic Delta Rule implemented in Pytorch on DenseNet

Tensorflow implementation : U-net and FCN with global convolution

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

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

Sky area detection without deep neural networks https://maybeshewill-cv.github.io/sky-detector/

A curated list of awesome deep learning applications in the field of neurological image analysis

One million English sentences, each split into two sentences that together preserve the original meaning, extracted from Wikipedia edits.

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Generic U-Net Tensorflow 2 implementation for semantic segmentation

Deep learning applied to georeferenced datasets

SHAInet - a pure Crystal machine learning library

Mapping a variable-length sentence to a fixed-length vector using BERT model

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017

深度学习论文阅读路线图

Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

Pytorch implementation for LapSRN (CVPR2017)

Fast inference engine for OpenNMT models

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

Implementation of character based convolutional neural network

HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.

The first public PyTorch implementation of Attentive Recurrent Comparators

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation

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

Breast Cancer Classification using CNN and transfer learning

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

Season 2 of @twosigma's artificial intelligence programming challenge

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Deep Learning Toolkit for Medical Image Analysis

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。

Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

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

Data Reading Blocks for Python

TensorFlow implementation of "SoundNet".

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

Deep Texture Encoding Network

rstudio::conf(2020) deep learning workshop

Implementation of soft dynamic time warping in pytorch

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

A curated list of resources for Learning with Noisy Labels

Some State-of-the-Art few shot learning algorithms in tensorflow 2

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

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

Top 200 deep learning Github repositories sorted by the number of stars.

An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

Latex code for making neural networks diagrams

Video embeddings for retrieval with natural language queries

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.