-
IRMAR, CNRS.
- Rennes, France.
-
02:51
(UTC -12:00) - https://navaro.pages.math.cnrs.fr
- https://orcid.org/0000-0002-7372-3221
Starred repositories
An opinionated list of Python frameworks, libraries, tools, and resources
Tensors and Dynamic neural networks in Python with strong GPU acceleration
scikit-learn: machine learning in Python
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
🔒 Consolidating and extending hosts files from several well-curated sources. Optionally pick extensions for porn, social media, and other categories.
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.
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
A collaborative note taking, wiki and documentation platform that scales. Built with Django and React.
A curated list of awesome mathematics resources
An open access book on scientific visualization using python and matplotlib
Practical Python Programming (course by @dabeaz)
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
High-Performance Symbolic Regression in Python and Julia
Tutorial material on the scientific Python ecosystem
The machine learning toolkit for time series analysis in Python
📊 Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.
CUDA integration for Python, plus shiny features
Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples
😎 Curated list of awesome software for numerical analysis and scientific computing
100% free and interactive Python course for beginners
Computations and statistics on manifolds with geometric structures.