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NumPy aware dynamic Python compiler using LLVM
Distributed Asynchronous Hyperparameter Optimization in Python
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …
An easy to use PyTorch to TensorRT converter
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
BS::thread_pool: a fast, lightweight, modern, and easy-to-use C++17 / C++20 / C++23 thread pool library
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction
SU2: An Open-Source Suite for Multiphysics Simulation and Design
NumPy and SciPy on Multi-Node Multi-GPU systems
auto-formatter for modern fortran source code
Energy Exascale Earth System Model source code. NOTE: use "maint" branches for your work. Head of master is not validated.
Sandia National Laboratories' Albany multiphysics code
Explore the Capabilities of the TensorRT Platform
RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.
An experiemtal review on deep learning architectures for time series forecasting
An extension of xarray for climate data analysis on structured grids.
SCR caches checkpoint data in storage on the compute nodes of a Linux cluster to provide a fast, scalable checkpoint / restart capability for MPI codes.
A Python package for intrinsic dimension estimation
Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
A library for dimensionality reduction on spatial-temporal PDE
An implementation of the 1. Parallel, 2. Streaming, 3. Randomized SVD using MPI4Py