Stars
A package to Learn Linear Operators
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
A JAX research toolkit for building, editing, and visualizing neural networks.
Open weights language model from Google DeepMind, based on Griffin.
skscope: Sparse-Constrained OPtimization via itErative-solvers
lightweight, standalone C++ inference engine for Google's Gemma models.
Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework
Lightning ⚡️ fast forecasting with statistical and econometric models.
Scalable and user friendly neural 🧠 forecasting algorithms.
An efficient C++17 GPU numerical computing library with Python-like syntax
Llama from scratch, or How to implement a paper without crying
A little Python script to collect LaTeX sources for upload to the arXiv.
A new markup-based typesetting system that is powerful and easy to learn.
A playbook for systematically maximizing the performance of deep learning models.
A next-generation crawling and spidering framework.
Geometric kernels on manifolds, meshes and graphs
Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other scientific publications.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Probabilistic Numerics in Python.
Library for nonconvex constrained optimization using the augmented Lagrangian method and the matrix-free PANOC algorithm.