https://github.com/berkeleyautomation/memory
Python module for Dex-Net memory system.
https://github.com/berkeleyautomation/memory
Last synced: 2 months ago
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Python module for Dex-Net memory system.
- Host: GitHub
- URL: https://github.com/berkeleyautomation/memory
- Owner: BerkeleyAutomation
- Created: 2019-03-24T06:10:57.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2019-07-11T23:53:48.000Z (almost 6 years ago)
- Last Synced: 2025-01-25T21:26:34.826Z (4 months ago)
- Language: Python
- Size: 9.6 MB
- Stars: 0
- Watchers: 4
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Berkeley AUTOLAB's Memory Package
## Overview
Dex-Net memory system.## TODOs (in order of priority)
- [x] Test inference. (vsatish)
- [x] Add support for featurization. Important for training time & network size constraints. (vsatish)
- [ ] Add support for analysis. (vsatish + ksanders)
- [ ] Begin hyper-parameter search. (ksanders)
- [x] Add suport for more layer features such as BatchNorm, Pooling, Regularization, etc. (vsatish)
- [ ] Add support for data augmentation. (vsatish)
- [ ] Add support for Triplet Network. (vsatish)
- [ ] Experiment with cropped inputs. (vsatish + ksanders)
- [ ] Add nearest neighbors. (ksanders)
- [ ] Add support for hyper-parameter search. (vsatish)