Jax-based MaxEnt
☆17Nov 24, 2019Updated 6 years ago
Alternatives and similar repositories for JaxEnt
Users that are interested in JaxEnt are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Prototypes of differentiable differential equation solvers in JAX.☆27Feb 3, 2020Updated 6 years ago
- Inference on non-linear dynamical systems written in JAX☆11Aug 20, 2020Updated 5 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22May 5, 2019Updated 7 years ago
- Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution☆25Mar 24, 2023Updated 3 years ago
- ☆16Jun 3, 2025Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A tutorial for Yao.jl☆11Oct 9, 2023Updated 2 years ago
- Leibniz is a python package which provide facilities to express learnable partial differential equations with PyTorch☆15Sep 13, 2021Updated 4 years ago
- Splotch is a hierarchical generative probabilistic model for analyzing Spatial Transcriptomics (ST) data☆22May 19, 2025Updated last year
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆61Jan 12, 2019Updated 7 years ago
- ☆12Oct 8, 2020Updated 5 years ago
- WuLiXueBao magazine article - automatic differentiation.☆15Feb 3, 2022Updated 4 years ago
- ☆24Feb 3, 2019Updated 7 years ago
- Differentiable programming on quantum circuits with Flux☆19Feb 12, 2020Updated 6 years ago
- Volterra Integral Equation Solver☆12Feb 3, 2016Updated 10 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- ☆12Feb 15, 2026Updated 6 months ago
- Code to reproduce the results of 👇☆18Aug 19, 2022Updated 3 years ago
- Information geometry and its extension information topology☆11Dec 2, 2017Updated 8 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆28May 13, 2019Updated 7 years ago
- ☆18Nov 25, 2021Updated 4 years ago
- "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.☆14Jan 23, 2024Updated 2 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Apr 19, 2016Updated 10 years ago
- Code for the paper "Tensor Networks for Maching Learning"☆17Nov 7, 2019Updated 6 years ago
- CrystalGRW: Generative Modeling of Crystal Structures with Targeted Properties via Geodesic Random Walks☆15May 22, 2026Updated 2 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Variational Monte Carlo with generative flows for mini-BMN matrix models☆19Aug 20, 2020Updated 5 years ago
- A PyTorch implementation of Conditional PixelCNNs☆27Jan 24, 2018Updated 8 years ago
- ☆19Jul 25, 2022Updated 4 years ago
- A pedagogical, functional-oriented deep learning library built on top of jax.☆15Jul 19, 2021Updated 5 years ago
- Learning-to-learn for QNNs: learning few-shot optimization of quantum neural networks with classical neural networks☆39Aug 25, 2019Updated 6 years ago
- Finite-temperature variational Monte Carlo calculation of uniform electron gas using neural canonical transformation.☆16Jun 17, 2023Updated 3 years ago
- Website of the Machine Learning and the Physical Sciences workshop at NeurIPS conference☆22Apr 11, 2026Updated 4 months ago
- Material for "Differentiable programming with Flux" at ODSC East & Europe, 2019☆24Nov 22, 2019Updated 6 years ago
- A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")☆40Nov 9, 2019Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- JuliaPhysics organisation website:☆23Jun 22, 2026Updated last month
- Hitchhiker's Guide to Deep Learning for Computational Scientists☆36Nov 26, 2018Updated 7 years ago
- C++ library built on top of ITensor for running iPEPS simulations of spin systems for arbitrary unit cells☆16Apr 16, 2020Updated 6 years ago
- Graduate topics course on learning discrete latent structure.☆66Dec 30, 2018Updated 7 years ago
- Cumulative Distribution Transform☆16Sep 28, 2017Updated 8 years ago
- Learning protein structure with a differentiable simulator☆27Jul 8, 2019Updated 7 years ago
- A low-level probabilistic programming framework embedded in Terra.☆29Aug 15, 2016Updated 10 years ago