pierreglaser / jax-tutorial
☆15Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for jax-tutorial
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆44Updated 5 months ago
- ☆19Updated 5 months ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆22Updated last year
- Conditional density estimation with neural networks☆27Updated 3 months ago
- Repository with the code of "HNPE: Leveraging Global Parameters for Neural Posterior Estimation"☆12Updated 8 months ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆72Updated 4 years ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆95Updated 5 months ago
- Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.☆55Updated this week
- Simulation-based inference benchmark☆90Updated 8 months ago
- ☆24Updated last year
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆62Updated last year
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆57Updated 5 months ago
- MCHMC: sampler from an arbitrary differentiable distribution☆70Updated this week
- A Python 3 toolbox for neural receptive field estimation using splines and Gaussian priors.☆24Updated 3 months ago
- Shareable, interactive scientific figures in the cloud☆33Updated 10 months ago
- Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"☆9Updated 3 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated last year
- Simulation-based inference in JAX☆21Updated last month
- ☆12Updated last year
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆12Updated last week
- Neuronal Network Meanfield Toolbox - official documentation: https://nnmt.readthedocs.io☆12Updated last year
- Generative models with JAX.☆18Updated 10 months ago
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆28Updated 2 weeks ago
- Model fitting toolbox for the Brian 2 simulator☆14Updated last year
- Convolutive Matrix Factorization in Julia☆11Updated 3 years ago
- Probabilistic programming framework for signal inference algorithms that operate regardless of the underlying grids and their resolutions☆21Updated this week
- SpikeForest -- spike sorting analysis for website☆16Updated 4 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆96Updated last year
- A flexible toolkit for simulation based inference in Julia☆18Updated last week
- Python package for generating benchmark data for evaluating spike sorting methods☆21Updated 4 years ago