LaurenceA / infrastructureLinks
☆15Updated last month
Alternatives and similar repositories for infrastructure
Users that are interested in infrastructure are comparing it to the libraries listed below
Sorting:
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆143Updated 4 months ago
- IVON optimizer for neural networks based on variational learning.☆72Updated 11 months ago
- Agustinus' very opiniated publication-ready plotting library☆69Updated 5 months ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- A framework for composing Neural Processes in Python☆85Updated 9 months ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆90Updated 3 years ago
- ☆25Updated 10 months ago
- Non official implementation of the Linear Recurrent Unit (LRU, Orvieto et al. 2023)☆57Updated last month
- Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)☆21Updated 3 months ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆20Updated 3 years ago
- Code for our paper: Online Variational Filtering and Parameter Learning☆18Updated 3 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆226Updated last year
- Modern Fixed Point Systems using Pytorch☆116Updated last year
- Truncated Normal Distribution in PyTorch☆85Updated last year
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆40Updated 2 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024☆122Updated 10 months ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆37Updated 3 years ago
- Stochastic Automatic Differentiation library for PyTorch.☆208Updated last year
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆20Updated 3 years ago
- Neural Networks and the Chomsky Hierarchy☆209Updated last year
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆283Updated 3 years ago
- Implementation of PSGD optimizer in JAX☆33Updated 9 months ago
- Sketched linear operations for PyTorch☆71Updated this week
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆41Updated 4 years ago
- Official PyTorch implementation of NeuralSVD (ICML 2024)☆20Updated last year
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Updated 2 years ago
- ☆11Updated last year