TorchDrift
vivit
TorchDrift | vivit | |
---|---|---|
1 | 1 | |
302 | 17 | |
0.0% | - | |
0.0 | 0.0 | |
over 1 year ago | 10 months ago | |
Jupyter Notebook | Python | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
TorchDrift
vivit
What are some alternatives?
Transformer-MM-Explainability - [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
pytea - PyTea: PyTorch Tensor shape error analyzer
cockpit - Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
cleverhans - An adversarial example library for constructing attacks, building defenses, and benchmarking both
uncertainty-toolbox - Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
backpack - BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
loss-landscape - Code for visualizing the loss landscape of neural nets
WeightWatcher - The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
delve - PyTorch model training and layer saturation monitor