innvariant / deepstructLinks
Sparse Neural Network Tools
☆12Updated last year
Alternatives and similar repositories for deepstruct
Users that are interested in deepstruct are comparing it to the libraries listed below
Sorting:
- ☆24Updated last year
- Data-efficient Training of Machine Learning Models☆67Updated 4 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 3 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆60Updated last year
- ☆11Updated 3 years ago
- ☆14Updated 4 years ago
- SGD with large step sizes learns sparse features [ICML 2023]☆33Updated 2 years ago
- Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.☆60Updated 3 years ago
- Distributed K-FAC preconditioner for PyTorch☆91Updated this week
- ☆59Updated 2 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆104Updated 5 years ago
- ☆30Updated 4 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 3 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 4 years ago
- Python implementation for Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.☆13Updated 3 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- PyTorch implementation for "Training and Inference on Any-Order Autoregressive Models the Right Way", NeurIPS 2022 Oral, TPM 2023 Best Pa…☆15Updated 2 years ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆34Updated last month
- ☆71Updated 10 months ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated last month
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆74Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 4 months ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- [NeurIPS 2021] code for "Taxonomizing local versus global structure in neural network loss landscapes" https://arxiv.org/abs/2107.11228☆19Updated 3 years ago
- Simple CIFAR10 ResNet example with JAX.☆23Updated 4 years ago
- Training vision models with full-batch gradient descent and regularization☆39Updated 2 years ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Updated last year
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 3 years ago
- Neural Tangent Kernel Papers☆118Updated 9 months ago
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆11Updated last year