Age | Commit message (Collapse) | Author | |
---|---|---|---|
2021-01-06 | Add CUDA support | Jordan Gong | |
2021-01-06 | Add TensorBoard support | Jordan Gong | |
2021-01-05 | Implement checkpoint mechanism | Jordan Gong | |
2021-01-05 | Change and improve weight initialization | Jordan Gong | |
1. Change initial weights for Conv layers 2. Find a way to init last fc in init_weights | |||
2021-01-03 | Separate last fc matrix from weight init function | Jordan Gong | |
Recursive apply will override other parameters too | |||
2021-01-03 | Implement weight initialization | Jordan Gong | |
2021-01-03 | Update hyperparameter configuration, implement prototype fit function | Jordan Gong | |
2020-12-29 | Correct batch splitter | Jordan Gong | |
We can disentangle features from different subjects, but cannot do it at different temporal orders | |||
2020-12-27 | Implement some parts of main model structure | Jordan Gong | |
1. Configuration parsers 2. Model signature generator | |||
2020-12-27 | Adopt type hinting generics in standard collections (PEP 585) | Jordan Gong | |
2020-12-26 | Implement batch splitter to split sampled data | Jordan Gong | |
Disentanglement cannot be processed on different subjects at the same time, we need to load `pr` subjects one by one. The batch splitter will return a pr-length list of tuples (with 2 dicts containing k-length lists of labels, conditions, view and k-length tensor of clip data, representing condition 1 and condition 2 respectively). |