Rank #3,630 2,014 starsJupyter Notebook

SfMLearner

by tinghuiz (personal account)

An unsupervised learning framework for depth and ego-motion estimation from monocular videos (description from the project’s GitHub page)

View on GitHub

Repository facts

Stars: 2,014
Forks: 553
Open issues and pull requests: 48
Primary language: Jupyter Notebook
License: MIT License (MIT)
Owner: tinghuiz · Personal account
Created: Apr 25, 2017
Last push: Oct 26, 2021

Topics

Rank #3,630 of 9,507 in AI on GitHub, by stars. Data from the GitHub API, fetched Oct 18, 2026; star counts change daily. Stars measure popularity, not quality or safety, and a listing is not an endorsement. How this list is made

Add this badge to your README

Ranked #3,630 in AI on GitHub Shows this repository’s rank in AI on GitHub and links back to this page. Ranks are by stars and change when the list is refreshed. The badge is not an endorsement or a rating. About the badges

Markdown (for a README)

[![Ranked #3,630 in AI on GitHub](https://unitedstatesofamericasuperintelligence.com/badges/github/tinghuiz--sfmlearner.svg)](https://unitedstatesofamericasuperintelligence.com/github/tinghuiz--sfmlearner/)

HTML

<a href="https://unitedstatesofamericasuperintelligence.com/github/tinghuiz--sfmlearner/"><img src="https://unitedstatesofamericasuperintelligence.com/badges/github/tinghuiz--sfmlearner.svg" alt="Ranked #3,630 in AI on GitHub" height="20"></a>

Projects that share this one’s GitHub topics.

Rank 8,064: fangchangma/self-supervised-depth-completion
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
654 starsPythonMITLast push Apr 24, 2021
Rank 7,336: zhirongw/lemniscate.pytorch
Unsupervised Feature Learning via Non-parametric Instance Discrimination
759 starsPythonNo license file detectedLast push Mar 25, 2021
Rank 2,384: open-mmlab/mmselfsup
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
3,305 starsPythonApache-2.0Last push Jun 25, 2023
Rank 6,337: MAC-VO/MAC-VO
[ICRA 2025 Best Paper] MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry
944 starsPythonMITLast push Nov 24, 2025
Rank 9,414: wvangansbeke/Sparse-Depth-Completion
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]
510 starsPythonOther licenseLast push May 1, 2022
Rank 1,014: greyhatguy007/Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
8,037 starsJupyter NotebookMITLast push Dec 28, 2025

Repository facts

Topics

Add this badge to your README

Related projects

Rank 8,064: fangchangma/self-supervised-depth-completion

Rank 7,336: zhirongw/lemniscate.pytorch

Rank 2,384: open-mmlab/mmselfsup

Rank 6,337: MAC-VO/MAC-VO

Rank 9,414: wvangansbeke/Sparse-Depth-Completion

Rank 1,014: greyhatguy007/Machine-Learning-Specialization-Coursera

Support Us