791 Open source projects that are alternatives of or similar to Deepmapping

Simple registration framework for OS X apps. DSA/ECDSA support. No OpenSSL required.

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Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

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The pytorch implementation of flownet3d: https://github.com/xingyul/flownet3d

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Visualize Data From Stray Scanner https://keke.dev/blog/2021/03/10/Stray-Scanner.html

🗺 A JavaScript library to easily integrate one or more SVG world maps with all nations (countries) and second-level political subdivisions (countries, provinces, states).

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Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

Unsupervised learning of atomic scale dynamics from molecular dynamics.

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ROS nodes wrapping core MRPT functionality: localization, autonomous navigation, rawlogs, etc.

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Assemblage (IGO2) / Open GIS Infrastructure 2.0

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ReactJS CRUD Application, ReactJS FileUpload, ReactJS Sample application, ReactJS Boilerplate, ReactJS Login, ReactJS FileUpload, ReactJS Register

Sensitive and Fast Alignment Search Tool for Long Read sequencing Data.

TCyb 2018: Graph learning for multiview clustering

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

A port of the Point Cloud Library (PCL) using Java Native Interface (JNI).

Scripts showcasing filtering techniques applied to point cloud data.

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".

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A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and folium

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A collection of JavaScript-based data visualization tools and data for depicting spread of the COVID-19

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An open source data visualization platform helping everyone to create simple, correct and embeddable charts in minutes.

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code for unsupervised learning Neural Hidden Markov Models paper

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A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

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