Stars
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
A beautiful, simple, clean, and responsive Jekyll theme for academics
Joplin - the privacy-focused note taking app with sync capabilities for Windows, macOS, Linux, Android and iOS.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
A curated collection of neuroscience tasks with a common interface.
scikit-learn: machine learning in Python
A markup-based typesetting system that is powerful and easy to learn.
Statistical package in Python based on Pandas
Optax is a gradient processing and optimization library for JAX.
A highly efficient implementation of Gaussian Processes in PyTorch
Fast Bayesian Inference in Python. 50+ conjugate models with vectorized updates, sufficient statistic helpers, built-in plotting, and SciPy integration.
A community based Python library for quantitative economics
CLU lets you write beautiful training loops in JAX.
A Python implementation of active inference for Markov Decision Processes
Multiple Pairwise Comparisons (Post Hoc) Tests in Python
Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.
[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm variants (from evolutionary computation, swarm intelligence, stati…
A High-Performance JAX Framework for Programmatic Reinforcement Learning
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.