MadryLab / cox
A lightweight experimental logging library
☆50Updated 8 months ago
Alternatives and similar repositories for cox:
Users that are interested in cox are comparing it to the libraries listed below
- On Certifying Non-uniform Bounds against Adversarial Attacks [ICML 2019]☆6Updated 5 years ago
- A library for evaluating representations.☆76Updated 3 years ago
- Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"☆27Updated 2 years ago
- Testing Nerual Tangent Kernel (NTK) on small UCI datasets☆83Updated 5 years ago
- A easy to use API to store outputs from forward/backward hooks in Pytorch☆36Updated 5 years ago
- Semi-supervised learning via Compact Latent Space Clustering☆49Updated 5 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- Estimating Example Difficulty using Variance of Gradients☆63Updated 2 years ago
- ☆14Updated 5 years ago
- Visualizing how deep networks make decisions☆66Updated 5 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆123Updated 9 months ago
- ☆34Updated 3 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆113Updated 6 years ago
- Hypergradient descent☆145Updated 10 months ago
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆22Updated 2 years ago
- This repository is no longer maintained. Check☆81Updated 4 years ago
- ☆90Updated 5 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- ☆99Updated 3 years ago
- Neural Ensemble Search for Uncertainty Estimation and Dataset Shift☆33Updated last year
- Prescribed Generative Adversarial Networks☆143Updated 4 years ago
- ☆6Updated 2 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Run fully connected artificial neural networks with dropout applied (mini)batchwise, rather than samplewise. Given two hidden layers each…☆15Updated 9 years ago
- Autoregressive Energy Machines☆77Updated 2 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 5 years ago
- A lightweight implementation of the SimCLR unsupervised training framework in PyTorch.☆8Updated 4 years ago
- ☆26Updated 6 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- ☆219Updated 6 years ago