ccj5351 Goto Github PK

geonet

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

google-scholar-in-moderncv-latex-template

How to include google -scholar link in modern cv

h36m-fetch

Human 3.6M 3D human pose dataset fetcher

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hmr_rgbd

HMR project 3D pose estimation from a single RGB-D image

human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

iina

The modern video player for macOS.

imageutilities

jmcglone.github.io

Data for jmcglone.com. Includes customization of Bootstrap 3.0. Blog and pages generated by Jekyll. Hosted on GitHub.

keras-vis

Neural network visualization toolkit for keras

kitti-devkit

kitti-devkit for generating the error maps, KITTI-color-space disparity maps, and pfm2uint16png and uint16png2pfm converting

lessmore

Learning Less is More - 6D Camera Localization via 3D Surface Regression

localexpstereo

Continuous 3D Label Stereo Matching using Local Expansion Moves (TPAMI 2017)

m3u8_downloader

基于Python的m3u8下载器

macdown

Open source Markdown editor for macOS.

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machine-learning-systems-design

A booklet on machine learning systems design with exercises

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

masf

Domain Generalization via Model-Agnostic Learning of Semantic Features

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

max_flow

mc-cnn

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

midas

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2020"

mlpack

mlpack: a scalable C++ machine learning library --

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

models

Models and examples built with TensorFlow

monodepth2

[ICCV 2019] Monocular depth estimation from a single image

ms-nets

Matching space stereo networks - MSNet, with improved generalization properties

mst

TensorFlow code for our ICCV 2019 paper "Multimodal Style Transfer via Graph Cuts"

mvsnet_pytorch

PyTorch Implementation of MVSNet