normal-computing / thermox
Exact OU processes with JAX
☆34Updated last month
Related projects ⓘ
Alternatives and complementary repositories for thermox
- Multiple dispatch over abstract array types in JAX.☆105Updated last week
- Riemannian Optimization Using JAX☆45Updated last year
- Matrix-free linear algebra in JAX.☆106Updated 2 months ago
- A generic interface for linear algebra backends☆70Updated 4 months ago
- ☆49Updated last year
- Pytorch-like dataloaders in JAX.☆59Updated last month
- ☆107Updated 3 weeks ago
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆41Updated last month
- Inference Combinators in JAX☆44Updated 3 weeks ago
- Exponential families for JAX☆55Updated this week
- diffusionjax is a simple and accessible diffusion models package in JAX☆36Updated 2 months ago
- Flow-matching algorithms in JAX☆77Updated 3 months ago
- Normalizing Flows using JAX☆82Updated 11 months ago
- Code for the book "The Elements of Differentiable Programming".☆65Updated 3 months ago
- JAX Arrays for human consumption☆88Updated last year
- Public code for running Stochastic Gradient Descent on GPs.☆34Updated 3 weeks ago
- Fine-grained, dynamic control of neural network topology in JAX.☆21Updated last year
- The Energy Transformer block, in JAX☆53Updated 11 months ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆34Updated 3 weeks ago
- Graph neural networks in JAX.☆67Updated 5 months ago
- Turn jitted jax functions back into python source code☆20Updated 4 months ago
- ☆40Updated 4 months ago
- Pytorch implementation of SuperPolyak subgradient method.☆43Updated 2 years ago
- The code for "Diffusion Geometry" (2024).☆33Updated 5 months ago
- Turning SymPy expressions into JAX functions☆42Updated 3 years ago
- Stencil computations in JAX☆66Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆96Updated last year
- In which I learn about score functions and how they can be used to generate data.☆15Updated 7 months ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆38Updated last week
- A functional training loops library for JAX☆85Updated 9 months ago