|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Pytorch||71,077||3,341||6,728||16 hours ago||37||May 08, 2023||12,759||other||Python|
|Tensors and Dynamic neural networks in Python with strong GPU acceleration|
|Torch7||8,505||4 years ago||282||other||C|
|Artificial Intelligence Deep Learning Machine Learning Tutorials||3,436||3 months ago||152||other||Python|
|A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.|
|Pytorch Cpp||1,559||6 months ago||4||mit||C++|
|C++ Implementation of PyTorch Tutorials for Everyone|
|Torch Audiomentations||767||a month ago||14||June 29, 2022||47||mit||Python|
|Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.|
|Torch||430||12||13 days ago||13||February 25, 2022||67||other||C++|
|R Interface to Torch|
|Pytorch||417||6 years ago||22||bsd-2-clause||Python|
|Python wrappers for torch and lua|
|Ocaml Torch||376||5 months ago||10||apache-2.0||OCaml|
|OCaml bindings for PyTorch|
|Adaptive Softmax||368||5 years ago||5||other||Lua|
|Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/1609.04309)|
|Cltorch||269||7 years ago||4||other||C++|
|An OpenCL backend for torch.|
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.
Torch7 community support can be found at the following locations. As of 2019, the Torch-7 community is close to non-existent.
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.