Crash course to master gradient-based machine learning. Also secretly a JAX course in disguise!
☆237Feb 12, 2024Updated 2 years ago
Alternatives and similar repositories for dl-workshop
Users that are interested in dl-workshop are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- How to do Bayesian statistical modelling using numpy and PyMC3☆677Jul 11, 2022Updated 4 years ago
- Tutorials and sampling algorithm comparisons☆85Updated this week
- Statistical Rethinking (2nd ed.) with NumPyro☆474May 4, 2025Updated last year
- A collection of Bayesian data analysis recipes using PyMC3☆562May 16, 2026Updated 5 months ago
- Bug importers for the OpenHatch project oh-mainline☆12Oct 28, 2015Updated 11 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.
- Codes for Numerical Analysis course☆40Apr 22, 2025Updated last year
- In which I try to demystify the fundamental concepts behind Bayesian deep learning.☆122Nov 29, 2017Updated 8 years ago
- JAX - A curated list of resources https://github.com/google/jax☆2,168Jan 20, 2026Updated 9 months ago
- Reproducible Data Science in Python (SciPy 2019 Tutorial)☆12Feb 2, 2023Updated 3 years ago
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,997Updated this week
- Pytrees + dataclasses ❤️☆76Dec 19, 2025Updated 10 months ago
- Forecasting Models in NumPyro☆39Updated this week
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆327Oct 14, 2026Updated 2 weeks ago
- Tutorial for SciPy 2021 Bioimage Analysis Fundamentals in Python☆31Jul 13, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,138Oct 8, 2026Updated 3 weeks ago
- ☆958Oct 7, 2026Updated 3 weeks ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,774Updated this week
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Aug 6, 2018Updated 8 years ago
- jax-triton contains integrations between JAX and OpenAI Triton☆473Oct 20, 2026Updated last week
- Optax is a gradient processing and optimization library for JAX.☆2,359Updated this week
- Scipy 2019 Tutorial☆38Jan 7, 2020Updated 6 years ago
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆587Sep 26, 2026Updated last month
- Short-term forecasts for influenza at the city- and county-level☆13Updated this week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A comparison of PPL APIs☆27Jul 23, 2019Updated 7 years ago
- Parse, Read, and Edit TOML☆14Jul 31, 2026Updated 2 months ago
- Applied category theory applied to epidemiological models☆12Aug 7, 2024Updated 2 years ago
- A pedagogical implementation of panel apps served up on a remote machine.☆14Oct 27, 2021Updated 5 years ago
- A functional training loops library for JAX☆87Feb 13, 2024Updated 2 years ago
- Extending JAX with custom C++ and CUDA code☆402Aug 18, 2024Updated 2 years ago
- Linear Operators in JAX.☆12May 11, 2023Updated 3 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆268Oct 5, 2025Updated last year
- Stencil computations in JAX☆73Nov 15, 2025Updated 11 months ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Numpydocs -> mkdocs friendly markdown☆12Jun 10, 2022Updated 4 years ago
- An introduction to network analysis and applied graph theory using Python and NetworkX☆1,126Oct 20, 2026Updated last week
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆106Oct 23, 2023Updated 3 years ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆631Aug 11, 2026Updated 2 months ago
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆331Mar 20, 2024Updated 2 years ago
- Interactive textbook on state space models☆12Apr 11, 2022Updated 4 years ago
- pytransform3d in JAX (experimental)☆12Oct 4, 2026Updated 3 weeks ago