mackelab / neuralgbi
Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inference
☆10Updated last year
Alternatives and similar repositories for neuralgbi:
Users that are interested in neuralgbi are comparing it to the libraries listed below
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆56Updated 8 months ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆22Updated last year
- Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.☆13Updated last year
- Simulation-based inference in JAX☆30Updated this week
- Conditional density estimation with neural networks☆30Updated last month
- Repository with the code of "HNPE: Leveraging Global Parameters for Neural Posterior Estimation"☆13Updated 11 months ago
- Probabilistic programming framework for signal inference algorithms that operate regardless of the underlying grids and their resolutions☆24Updated this week
- A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis an…☆17Updated 3 months ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆58Updated 8 months ago
- GATSBI: Generative Adversarial Training for Simulation-Based Inference☆17Updated last year
- ☆23Updated last year
- ☆15Updated 2 years ago
- ☆11Updated last year
- Demixed Shared Component Analysis☆13Updated 4 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 4 years ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆109Updated 3 weeks ago
- ☆13Updated 10 months ago
- Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.☆78Updated this week
- Estimation, analysis and decomposition of brainwave spatiotemporal dynamics☆28Updated 3 years ago
- ☆24Updated last year
- Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"☆9Updated 3 years ago
- ☆12Updated last year
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆31Updated last year
- Differentiable and gpu enabled fast wavelet transforms in JAX.☆43Updated 7 months ago
- This repository contains research code for the paper "Generating realistic neurophysiological time series with denoising diffusion probab…☆69Updated last month
- Neuronal Network Meanfield Toolbox - official documentation: https://nnmt.readthedocs.io☆13Updated last year
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated last year
- ☆20Updated 10 months ago