toshas / torch_truncnormLinks
Truncated Normal Distribution in PyTorch
☆85Updated last year
Alternatives and similar repositories for torch_truncnorm
Users that are interested in torch_truncnorm are comparing it to the libraries listed below
Sorting:
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆45Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- Pytorch implementation of Neural Processes for functions and images☆233Updated 3 years ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 3 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- The Modified Differential Multiplier Method (MDMM) for PyTorch☆60Updated 4 years ago
- Aggregate multiple tensorboard runs to new summary or csv files☆173Updated 5 months ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 5 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆226Updated last year
- ☆31Updated 4 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- A collection of meta-learning algorithms in Jax☆23Updated 3 years ago
- ☆67Updated 6 years ago
- ☆124Updated last year
- Discrete Normalizing Flows implemented in PyTorch☆113Updated 4 years ago
- PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.☆19Updated last year
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆236Updated 7 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆85Updated 5 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated 2 years ago
- Bayesian active learning with EPIG data acquisition☆34Updated last month
- Hessian spectral density estimation in TF and Jax☆124Updated 5 years ago
- ☆181Updated 6 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆246Updated 3 weeks ago
- Retrieve information from DBLP and update BibTex files automatically☆54Updated 3 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆45Updated 3 years ago
- ☆52Updated 3 years ago
- Code for Neural Spline Flows paper☆280Updated last week
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 3 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆145Updated 4 months ago