cleverhans
TorchDrift
Our great sponsors
| cleverhans | TorchDrift | |
|---|---|---|
| 3 | 1 | |
| 6,008 | 302 | |
| 0.0% | 0.0% | |
| 0.0 | 0.0 | |
| about 1 year ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | GNU General Public License v3.0 or later |
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.
cleverhans
-
Clever Hans (Intelligence Misatributon)
I only knew of this story from looking up the name of this library on adversarial DL https://github.com/cleverhans-lab/cleverhans
- [D] DL Practitioners, Do You Use Layer Visualization Tools s.a GradCam in Your Process?
-
[D] Does anyone care about adversarial attacks anymore?
I feel as though this area has not received much attention over the last couple of years. The CleverHans project has gone stale and I haven't heard of many new results recently. Has the community lost interest in this area? Did we decide that adversarial attacks aren't such a problem in practical applications?
TorchDrift
What are some alternatives?
deepchecks - Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
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.
advertorch - A Toolbox for Adversarial Robustness Research
cockpit - Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
AIX360 - Interpretability and explainability of data and machine learning models
uncertainty-toolbox - Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
aws-security-workshops - A collection of the latest AWS Security workshops
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
backpack - BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.