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gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

genre-shapehd

Code and data release for GenRe (NeurIPS 2018) and ShapeHD (ECCV 2018)

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

instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

irs-dataset

IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation

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

llm-scene-graph-ltl-planning

Repository for ICRA'24 Paper "Optimal Scene Graph Planning with Large Language Model Guidance"

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 --