niklasnolte / MonotonicNetworks
☆41Updated 8 months ago
Alternatives and similar repositories for MonotonicNetworks:
Users that are interested in MonotonicNetworks are comparing it to the libraries listed below
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆117Updated last month
- Keras implementation of the constrained monotonic neural networks☆39Updated 2 weeks ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆99Updated last year
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- A framework for composing Neural Processes in Python☆79Updated last month
- Code for the causal benchmark library☆11Updated 4 months ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆97Updated 9 months ago
- State of the art inference for your bayesian models.☆196Updated last month
- Light-weighted code for Orthogonal Additive Gaussian Processes☆41Updated 6 months ago
- ☆147Updated 2 years ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆122Updated 5 months ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆111Updated this week
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆25Updated 2 weeks ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆70Updated 2 years ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆100Updated this week
- Proximal optimization in pure python☆115Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆85Updated last year
- Normalizing Flows with a resampled base distribution☆44Updated 2 years ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆84Updated this week
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆44Updated 4 years ago
- Signax: Signature computation in JAX☆26Updated this week
- Our maintained PFN repository. Come here to train SOTA PFNs.☆57Updated 2 months ago
- Conditional density estimation with neural networks☆30Updated last week
- Agustinus' very opiniated publication-ready plotting library☆61Updated 4 months ago
- ☆134Updated last month
- Large-scale, multi-GPU capable, kernel solver☆184Updated 6 months ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 5 years ago
- Probabilistic modeling of tabular data with normalizing flows.☆55Updated 7 months ago
- Add a tqdm progress bar to your JAX scans and loops.☆101Updated 3 months ago
- Bayesian inference with Python and Jax.☆32Updated 2 years ago