edouardoyallon / lazy-training-CNNLinks
☆15Updated 6 years ago
Alternatives and similar repositories for lazy-training-CNN
Users that are interested in lazy-training-CNN are comparing it to the libraries listed below
Sorting:
- ☆41Updated 2 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Implementation of Kronecker Attention in Pytorch☆19Updated 5 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆46Updated 5 years ago
- Structured matrices for compressing neural networks☆67Updated 2 years ago
- Code base for SRSGD.☆29Updated 5 years ago
- Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"☆26Updated 2 years ago
- ☆30Updated 4 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 5 years ago
- ☆34Updated 6 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- ☆24Updated 4 years ago
- CIFAR-5m dataset☆39Updated 4 years ago
- Official code for paper "Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors"☆28Updated 5 years ago
- Visualization of mean field and neural tangent kernel regime☆20Updated last year
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆54Updated 6 years ago
- Limitations of the Empirical Fisher Approximation☆48Updated 7 months ago
- Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …☆39Updated 2 years ago
- Last-layer Laplace approximation code examples☆84Updated 4 years ago
- Delta Orthogonal Initialization for PyTorch☆18Updated 7 years ago
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆43Updated 6 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆66Updated 3 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆76Updated last year
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 6 years ago
- Reproducible code for Augmentation paper☆17Updated 6 years ago
- ☆20Updated 5 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆27Updated 6 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 3 years ago