torchdrug
SuperGluePretrainedNetwork
| torchdrug | SuperGluePretrainedNetwork | |
|---|---|---|
| 3 | 5 | |
| 1,392 | 3,036 | |
| 0.7% | 4.3% | |
| 5.7 | 0.0 | |
| 6 months ago | over 1 year ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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torchdrug
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Researchers Open-Source ‘TorchDrug’: A PyTorch-Based Machine Learning Platform Designed For Drug Discovery
Quick Read | Github | Blog | Colab Tutorial
- TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery
- [P] TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery
SuperGluePretrainedNetwork
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SuperGlue is a CVPR2022 research project done at Magicleap for pose estimation in real-world environments. Check out the tool link in the comments
Code: https://github.com/magicleap/SuperGluePretrainedNetwork
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Advances in SLAM since 2016
This basically includes a deep learning based approach to do keypoint detection, and match them across image frames. This includes papers like SuperPoint, Superglue, and more. There is also a way to do dense matching with neural networks.
- [D] Solo machine learning engineer woes
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How to train a CNN for a map localization task?
Feature matching is the way to go imo. Try out OpenCV's inbuilt feature matching methods like SIFT and FLANN. If the performance is poor, you can even try out CNN aided matching algos like SuperGlue Link (CVPR2020)
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What is the SOTA for feature extraction / description / matching ?
SIFT and brute force matching is your best bet in classical computer vision if you're unconcerned with runtime. There are methods from deep learning that can perform better, somewhat domain dependent. Check out superpoint and superglue from magic leap. https://github.com/magicleap/SuperGluePretrainedNetwork
What are some alternatives?
deepchem - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
LoFTR - Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
DeepRobust - A pytorch adversarial library for attack and defense methods on images and graphs
ORB_SLAM3 - ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
nerfmm - (Arxiv 2021) NeRF--: Neural Radiance Fields Without Known Camera Parameters
dgl - Python package built to ease deep learning on graph, on top of existing DL frameworks.
RecBole - A unified, comprehensive and efficient recommendation library
DeepLabCut - Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
chemicalx - A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
open_vins - An open source platform for visual-inertial navigation research.