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A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
C++ implementation of the Python Numpy library
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python, Matlab/Octave, Julia or Javascript
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
⚡ Datoviz: high-performance GPU rendering for scientific data visualization
An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.
2D/3D simplicial mesh generator interface for Python (Triangle, TetGen, gmsh)
Main yt repository
A Python native dynamical system simulation framework in the block diagram paradigm.
The fastest automatic differentiation library for C++, with Python bindings. Forward, adjoint and higher-order derivatives, checkpointing, Eigen support and JIT. Reproducible benchmarks against CppAD, Adept and autodiff.
Autonomous multi-agent framework to optimize scientific software
Java Scientific Computing Library - Signal Processing, FFT, Filters, PSD, DCT, SciPy-like APIs for JVM & Android used in Machine Learning and Data Science.
A browser workspace connecting research projects, apps, and collaborators