859 Open source projects that are alternatives of or similar to Dgm

An open source framework for deep learning on satellite and aerial imagery.

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

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Collection of computer vision models, ready to be included in a JVM project

High-level batteries-included neural network training library for Pytorch

FrostNet: Towards Quantization-Aware Network Architecture Search

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

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Classifying time series using feature extraction

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Online feature-extraction and classification algorithm that learns representations of input patterns.

Tensorflow implementation : U-net and FCN with global convolution

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An intuitive library to extract features from time series

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PHP-ML - Machine Learning library for PHP

TFslim based semantic segmentation models, modular&extensible boutique design

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

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embedding and grouping pixels into boundary, proposal, segment and object instance.

4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)

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.NET library for 1D signal processing focused specifically on audio processing

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Another pytorch implementation of FCN (Fully Convolutional Networks)

Fast and simple music and audio analysis using RNN in Python 🕵️‍♀️ 🥁

An awesome semantic segmentation model that runs in real time

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

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Fully Convolutional HarDNet for Segmentation in Pytorch

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Comparison tools

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)

IPython widgets, interactive plots, interactive machine learning

Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"

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PyTorch Implementation of Stacked U-Nets (SUNets)

PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).

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High-quality Neural Networks for Computer Vision 😎

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

Code for Java Deep Learning Cookbook

R/shiny interface for interactive visualization of data in SummarizedExperiment objects

A large-scale dataset for face parsing (AAAI2020)

Deep neural network to extract intelligent information from invoice documents.

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C++ based toolbox for the SUNCG dataset

Fingerprint recognition engine for Java that takes a pair of human fingerprint images and returns their similarity score. Supports efficient 1:N search.

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

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Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

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