lilianweng / generalization-experiment
TBA
☆75Updated 5 years ago
Alternatives and similar repositories for generalization-experiment:
Users that are interested in generalization-experiment are comparing it to the libraries listed below
- ☆61Updated last year
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- This repository is no longer maintained. Check☆81Updated 4 years ago
- Geometric Certifications of Neural Nets☆41Updated 2 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 4 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆123Updated 8 months ago
- Interpreting neural networks via the STREAK algorithm (streaming weak submodular maximization)☆23Updated 7 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- Basic experiment framework for tensorflow.☆92Updated 3 years ago
- Autoregressive Energy Machines☆77Updated 2 years ago
- ☆45Updated 5 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- A library for evaluating representations.☆76Updated 3 years ago
- Plot TensorBoard graphs fast☆51Updated 3 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆138Updated 5 years ago
- Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based N…☆67Updated 10 years ago
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆52Updated 4 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆48Updated 5 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 5 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- ☆11Updated 5 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"☆138Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- Convolutional Neural Tangent Kernel☆109Updated 5 years ago
- ☆30Updated 4 years ago
- ☆34Updated 6 years ago