y0ast / pytorch-snippetsLinks
Collection of snippets for PyTorch users
☆25Updated 3 years ago
Alternatives and similar repositories for pytorch-snippets
Users that are interested in pytorch-snippets are comparing it to the libraries listed below
Sorting:
- ☆37Updated 3 years ago
- ☆45Updated 4 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆65Updated 4 years ago
- Codebase for Learning Invariances in Neural Networks☆95Updated 2 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated last year
- ☆19Updated 3 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆36Updated 3 years ago
- CIFAR-5m dataset☆39Updated 4 years ago
- ☆36Updated last year
- Ἀνατομή is a PyTorch library to analyze representation of neural networks☆64Updated 3 weeks ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- Last-layer Laplace approximation code examples☆82Updated 3 years ago
- ☆54Updated 11 months ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆46Updated 5 years ago
- ☆133Updated 4 years ago
- Structured matrices for compressing neural networks☆67Updated last year
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Code for "Supermasks in Superposition"☆124Updated last year
- Easy-to-use AdaHessian optimizer (PyTorch)☆79Updated 4 years ago
- ☆100Updated 3 years ago
- Pytorch optimizers implementing Hilbert Constrained Gradient Descent☆19Updated 6 years ago
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Updated 2 years ago
- Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.☆33Updated last year
- ☆16Updated 2 years ago
- Code base for SRSGD.☆28Updated 5 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆69Updated last year
- Code for the paper " Exemplary Natural Images Explain CNN Activations Better than Feature Visualizations"☆10Updated 4 years ago
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Updated 9 months ago