High-performance TensorFlow library for quantitative finance.
Lingvo
CUDA integration for Python, plus shiny features
Simulation of spiking neural networks (SNNs) using PyTorch.
Blender Integration for LuxCore
Differentiable Fluid Dynamics Package
Kernel Tuner
physical optics: integrated modeling, phase retrieval, segmented systems, polynomials and fitting, sequential raytracing...
Stretching GPU performance for GEMMs and tensor contractions.
Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
A set of utilities for monitoring and customizing GPU performance
A Python Library for Genetic Algorithm on OpenCL
Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
A lightweight (serverless) native python parallel processing framework based on simple decorators and call graphs.
A framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures.
System monitoring program for Raspberry pi single board computers written in Python 3.
Pythonic particle-based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package with box, parcel & 1D/2D prescribed-flow examples in Python, Julia and Matlab
MetaDE is a GPU-accelerated evolutionary framework that optimizes Differential Evolution (DE) strategies via meta-level evolution. Supporting both JAX and PyTorch, it dynamically adapts mutation and crossover strategies for efficient large-scale black-box optimization.
EvoMO is a GPU-accelerated library for evolutionary multiobjective optimization (EMO)
Brian 2 frontend to the GeNN simulator
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