MadryLab / cox
A lightweight experimental logging library
☆50Updated 7 months ago
Alternatives and similar repositories for cox:
Users that are interested in cox are comparing it to the libraries listed below
- A library for evaluating representations.☆76Updated 3 years ago
- On Certifying Non-uniform Bounds against Adversarial Attacks [ICML 2019]☆6Updated 5 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☆84Updated 5 years ago
- Estimating Example Difficulty using Variance of Gradients☆63Updated 2 years ago
- ☆99Updated 3 years ago
- A easy to use API to store outputs from forward/backward hooks in Pytorch☆36Updated 5 years ago
- ☆14Updated 5 years ago
- Semi-supervised learning via Compact Latent Space Clustering☆48Updated 5 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- Geometric Certifications of Neural Nets☆41Updated 2 years ago
- Hypergradient descent☆145Updated 9 months ago
- Basic experiment framework for tensorflow.☆92Updated 3 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- Neural Ensemble Search for Uncertainty Estimation and Dataset Shift☆33Updated 11 months ago
- TBA☆75Updated 6 years ago
- ☆6Updated last year
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆34Updated 4 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
- There and Back Again: Revisiting Backpropagation Saliency Methods (CVPR 2020)☆52Updated 4 years ago
- ☆90Updated 5 years ago
- A lightweight implementation of the SimCLR unsupervised training framework in PyTorch.☆8Updated 4 years ago
- Slides for my graduate deep learning course at Imperial College.☆6Updated 5 years ago
- ☆26Updated 5 years ago
- ☆34Updated 3 years ago
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆22Updated 2 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Autoregressive Energy Machines☆77Updated 2 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆123Updated 8 months ago
- Code for: Implicit Competitive Regularization in GANs☆114Updated 3 years ago