chandar-lab / CGOptimizer
☆6Updated last year
Related projects ⓘ
Alternatives and complementary repositories for CGOptimizer
- Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"☆27Updated last year
- GAN models implemented with Pytorch Lightning and Hydra configuration☆34Updated 2 years ago
- Code repository for the paper "Attentive Group Equivariant Convolutional Neural Networks" published at ICML 2020. https://arxiv.org/abs/2…☆49Updated 4 years ago
- Estimating Example Difficulty using Variance of Gradients☆63Updated last year
- Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)☆40Updated last year
- Neural Ensemble Search for Uncertainty Estimation and Dataset Shift☆33Updated 7 months ago
- On Certifying Non-uniform Bounds against Adversarial Attacks [ICML 2019]☆6Updated 5 years ago
- A lightweight experimental logging library☆50Updated 3 months ago
- A library for evaluating representations.☆76Updated 2 years ago
- There and Back Again: Revisiting Backpropagation Saliency Methods (CVPR 2020)☆52Updated 4 years ago
- A lightweight implementation of the SimCLR unsupervised training framework in PyTorch.☆7Updated 4 years ago
- Lightweight Cluster/Cloud VM Job Management 🚀☆41Updated 2 months ago
- A easy to use API to store outputs from forward/backward hooks in Pytorch☆36Updated 5 years ago
- Euclidean Wasserstein-2 optimal transportation☆43Updated last year
- Implementation of DropLoss for Long-Tail Instance Segmentation in Pytorch☆42Updated 3 years ago
- ☆13Updated 3 years ago
- CE9010 Introduction to Data Analysis, 2020☆7Updated 4 years ago
- ☆97Updated 2 years ago
- ☆14Updated 5 years ago
- Very deep VAEs in JAX/Flax☆45Updated 3 years ago
- Lightweight ML Experiment Logging 📖☆80Updated 2 months ago
- ☆52Updated 3 months ago
- ☆39Updated 4 years ago
- ☆13Updated 4 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆77Updated 2 years ago
- My implementation of DeepMind's Perceiver☆63Updated 3 years ago
- Testing Nerual Tangent Kernel (NTK) on small UCI datasets☆82Updated 5 years ago
- Semi-supervised learning via Compact Latent Space Clustering☆47Updated 5 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated last year