
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)
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
Related projects
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