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Lantern官方版本下载蓝灯翻墙代理科学上网外网加速器梯子路由 proxy vpn circumvention gfw

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Indoor-SfMLearner

[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation

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SC-SfMLearner-Release

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video (NeurIPS 2019)

GPL-3.0000

Unsupervised-Indoor-Depth

Unsupervised Depth Learning in Challenging Indoor Video: Weak Rectification to Rescue

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PRML

PRML algorithms implemented in Python

MIT000

GeoNet

Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)

MIT000

LKVOLearner

Learning Depth from Monocular Videos using Direct Methods, CVPR 2018

BSD-3-Clause000

ContinuousCRF-CNN

Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation in CVPR 2017

Language:C++NOASSERTION000

tensorflow

Computation using data flow graphs for scalable machine learning

Language:C++Apache-2.0000

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

Apache-2.0000

ML-Tutorial-Experiment

Coding the Machine Learning Tutorial for Learning to Learn

Language:Jupyter Notebook000

SNLI-decomposable-attention

Decomposable Attention Model for Sentence Pair Classification (Pytorch Version) from paper 'A Decomposable Attention Model for Natural Language Inference' https://arxiv.org/abs/1606.01933

Language:Python000