generativeai-tue / vsgdLinks
Code repository of the paper "Variational Stochastic Gradient Descent for Deep Neural Networks" published at
☆41Updated 6 months ago
Alternatives and similar repositories for vsgd
Users that are interested in vsgd are comparing it to the libraries listed below
Sorting:
- TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning☆204Updated this week
- Running Jax in PyTorch Lightning☆113Updated 10 months ago
- High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial…☆45Updated last year
- Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …☆74Updated 2 years ago
- Diffusion models in PyTorch☆112Updated last week
- Deep Learning, an Energy Approach☆218Updated 5 months ago
- ☆46Updated last week
- A projection-based framework for gradient-free and parallel learning☆106Updated 4 months ago
- ☆30Updated 3 months ago
- ☆150Updated last year
- Lightning-like training API for JAX with Flax☆44Updated 11 months ago
- Materials of the Nordic Probabilistic AI School 2022.☆179Updated 3 years ago
- Brain-like variational inference☆57Updated 5 months ago
- Agustinus' very opiniated publication-ready plotting library☆69Updated 6 months ago
- Uncertainty quantification with PyTorch☆375Updated last month
- Parameter-Free Optimizers for Pytorch☆131Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.☆173Updated 2 years ago
- TorchFSM: Fourier Spectral Method with PyTorch☆50Updated 2 weeks ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆60Updated last year
- Patched Attention for Nonlinear Dynamics☆159Updated last month
- A system for automating selection and optimization of pre-trained models from the TAO Model Zoo☆25Updated last year
- Benchmark time series data sets for PyTorch☆36Updated last year
- PyHopper is a hyperparameter optimizer, made specifically for high-dimensional problems arising in machine learning research.☆86Updated last year
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models☆175Updated last year
- The boundary of neural network trainability is fractal☆217Updated last year
- Interactive textbook on state-space models☆198Updated last year
- L1-regularized least squares with PyTorch☆69Updated 2 years ago
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆271Updated 3 years ago