pierreglaser / jax-tutorialLinks
☆15Updated 2 years ago
Alternatives and similar repositories for jax-tutorial
Users that are interested in jax-tutorial are comparing it to the libraries listed below
Sorting:
- ☆21Updated last year
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.☆98Updated this week
- Community-sourced list of papers and resources on neural simulation-based inference.☆118Updated last month
- Conditional density estimation with neural networks☆31Updated 5 months ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆59Updated last year
- Simulation-based inference in JAX☆32Updated 2 months ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆67Updated this week
- Simulation-based inference benchmark☆97Updated 5 months ago
- Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…☆10Updated last year
- A Python 3 toolbox for neural receptive field estimation using splines and Gaussian priors.☆25Updated 10 months ago
- Repository with the code of "HNPE: Leveraging Global Parameters for Neural Posterior Estimation"☆13Updated last year
- ☆12Updated last year
- ☆23Updated last year
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 4 years ago
- Shareable, interactive scientific figures in the cloud☆36Updated 7 months ago
- Fast, lightweight and parallelised simulation-based inference in JAX.☆18Updated last week
- MCHMC: sampler from an arbitrary differentiable distribution☆73Updated last month
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated 6 months ago
- A generic interface for linear algebra backends☆73Updated 3 months ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆67Updated last year
- ☆11Updated 2 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆38Updated 2 years ago
- Probabilistic programming framework for signal inference algorithms that operate regardless of the underlying grids and their resolutions☆31Updated last month
- Exercises and examples for the latent dynamics workshop☆17Updated last year
- Code for Galgali et al, 2023☆13Updated 2 years ago
- A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis an…☆24Updated 7 months ago
- SpikeForest -- spike sorting analysis for website☆16Updated 4 years ago
- Likelihood-Free Frequentist Inference☆17Updated last month
- PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python☆73Updated 5 months ago