Programming language: C
License: GNU General Public License v3.0 or later

Torch alternatives and similar libraries

Based on the "Scientific Computing" category.
Alternatively, view Torch alternatives based on common mentions on social networks and blogs.

  • FFTW

    7.5 4.2 L4 Torch VS FFTW
  • Trilinos

    Primary repository for the Trilinos Project
  • Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
    Promo www.influxdata.com
    InfluxDB Logo
  • Kratos Multiphysics

    Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.
  • preCICE

    A coupling library for partitioned multi-physics simulations, including, but not restricted to fluid-structure interaction and conjugate heat transfer simulations.
  • GSL

    4.8 6.7 L3 Torch VS GSL
    GNU Scientific Library with CMake build support and AMPL bindings

    Hierarchical Engine for Large-scale Infrastructure Co-Simulation (HELICS)
  • Units

    A run-time C++ library for working with units of measurement and conversions between them and with string representations of units and measurements
  • itpp

    IT++ library mirror/fork. C++ library of mathematical, signal processing and communication classes and functions.
  • suanPan

    🧮 An Open Source, Parallel and Heterogeneous Finite Element Analysis Framework
  • d-SEAMS

    The d-SEAMS C++ core engine
  • Dimwits

    A compact C++ header-only library providing compile-time dimensional analysis and unit awareness
  • Blitz++

    Git mirror of Blitz++ at http://sourceforge.net/projects/blitz/

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Join the chat at https://gitter.im/torch/torch7 Build Status

Development Status

Torch is not in active developement. The functionality provided by the C backend of Torch, which are the TH, THNN, THC, THCUNN libraries is actively extended and re-written in the ATen C++11 library (source, mirror). ATen exposes all operators you would expect from torch7, nn, cutorch, and cunn directly in C++11 and includes additional support for sparse tensors and distributed operations. It is to note however that the API and semantics of the backend libraries in Torch-7 are different from the semantice provided by ATen. For example ATen provides numpy-style broadcasting while TH* dont. For information on building the forked Torch-7 libraries in C, refer to "The C interface" in pytorch/aten/src/README.md.

Need help?

Torch7 community support can be found at the following locations. As of 2019, the Torch-7 community is close to non-existent.

Torch Package Reference Manual

Torch is the main package in Torch7 where data structures for multi-dimensional tensors and mathematical operations over these are defined. Additionally, it provides many utilities for accessing files, serializing objects of arbitrary types and other useful utilities.

Torch Packages

  • Tensor Library
    • [Tensor](doc/tensor.md) defines the all powerful tensor object that provides multi-dimensional numerical arrays with type templating.
    • [Mathematical operations](doc/maths.md) that are defined for the tensor object types.
    • [Storage](doc/storage.md) defines a simple storage interface that controls the underlying storage for any tensor object.
  • File I/O Interface Library
    • [File](doc/file.md) is an abstract interface for common file operations.
    • [Disk File](doc/diskfile.md) defines operations on files stored on disk.
    • [Memory File](doc/memoryfile.md) defines operations on stored in RAM.
    • [Pipe File](doc/pipefile.md) defines operations for using piped commands.
    • [High-Level File operations](doc/serialization.md) defines higher-level serialization functions.
  • Useful Utilities
    • [Timer](doc/timer.md) provides functionality for measuring time.
    • [Tester](doc/tester.md) is a generic tester framework.
    • [CmdLine](doc/cmdline.md) is a command line argument parsing utility.
    • [Random](doc/random.md) defines a random number generator package with various distributions.
    • Finally useful [utility](doc/utility.md) functions are provided for easy handling of torch tensor types and class inheritance.

Useful Links