-
Heidelberg University
- Germany
- pablormier.github.io
- https://orcid.org/0000-0002-4938-4418
Lists (30)
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Starred repositories
A Git-based CMS for Static Site Generators
High-Performance Scientific Modeling with Julia and SciML
Ever used asyncio and wished you hadn't? A tiny (~300 lines) event loop for Python.
Awesome resources on normalizing flows.
The blessed GitHub Action, for publishing your 📦 distribution files to PyPI, the tokenless way: https://github.com/marketplace/actions/pypi-publish
A highly customizable SQP & barrier solver for nonlinearly constrained optimization
Fast and flexible physics-based battery models in Python
A curated list of awesome software for Apple's macOS.
A MLX port of FLUX based on the Huggingface Diffusers implementation.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
A list of awesome compiler projects and papers for tensor computation and deep learning.
Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
A Jax-based library for building transformers, includes implementations of GPT, Gemma, LlaMa, Mixtral, Whisper, SWin, ViT and more.
Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable i…
A modern Python package and dependency manager supporting the latest PEP standards
A markup-based typesetting system that is powerful and easy to learn.
A simple and easy-to-use library to enjoy videogames programming
Turn SymPy expressions into trainable JAX expressions.
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
Crash course to master gradient-based machine learning. Also secretly a JAX course in disguise!