Search Results for "tensor"
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Showing 5 open source projects for "tensor"
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1
XNNPACK
High-efficiency floating-point neural network inference operators
...The library is written in C/C++ and designed for maximum portability, efficiency, and performance, leveraging platform-specific instruction sets (e.g., NEON, AVX, SIMD) for optimized execution. It supports NHWC tensor layouts and allows flexible striding along the channel dimension to efficiently handle channel-split and concatenation operations without additional cost. -
2
fairseq2
FAIR Sequence Modeling Toolkit 2
...Unlike the original fairseq—which evolved into a large, monolithic codebase—fairseq2 introduces a clean, plugin-oriented architecture designed for long-term maintainability and rapid experimentation. It supports multi-GPU and multi-node distributed training using DDP, FSDP, and tensor parallelism, capable of scaling up to 70B+ parameter models. The framework integrates seamlessly with PyTorch 2.x features such as torch.compile, Fully Sharded Data Parallel (FSDP), and modern configuration management. -
3
Teem
Tools to process and visualize scientific data and images
Teem is a set of C libraries for manipulation, measurement, and visualization of structured scientific data. Includes N-dimensional image I/O and processing, volume rendering, diffusion tensor processing, and more. Latest code via git clone http://git.code.sf.net/p/teem/teem.git . Join us at https://discord.gg/xBBqZGXkF7 -
4
RMGDFT
Real Space Multigrid based electronic structure code.
News: active RMG development has moved to github https://github.com/RMGDFT News: V4.1.0 released on 09/29/2020 News: V4.0.0 released on 09/01/2020 with major updates. News: V3.0.0 released on 06/09/2018 with major updates. News: V2.2.2 released on 10/14/2017 with minor bug fixes. News: V2.2 with performance enhancements, bug fixes and new features released on 06/26/2017. Sources are available with binaries to follow soon. News: V2.1 with many improvements released on... -
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5
NimTorch
PyTorch - Python + Nim
NimTorch is a deep learning library for the Nim programming language, providing bindings to PyTorch for efficient tensor computations and neural network functionalities.
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