Pytorch Alternatives
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coremltools
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
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tensorflow
An Open Source Machine Learning Framework for Everyone
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Scout
Get performance insights in less than 4 minutes. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.
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cpython
The Python programming language
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json
JSON for Modern C++
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NumPy
The fundamental package for scientific computing with Python.
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onnx
Open standard for machine learning interoperability
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MMdnn
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, PyTorch Onnx and CoreML. [Moved to: https://github.com/microsoft/MMdnn]
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segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
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tensorflow_macos
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
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flashlight
A C++ standalone library for machine learning
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tensorio
Declarative, On-Device Machine Learning for iOS, Android, and React Native. Deploy. Predict. Train.
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LibtorchTutorials
This is a code repository for pytorch c++ (or libtorch) tutorial.
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SegmentationCpp
A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: resnet, retnext. Architecture: fpn, unet, deeplab-v3, deeplab-v3+ by now.
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C++ trainable semantic segmentation models
C++ library with Neural Networks for Image Segmentation based on LibTorch.
This project is under developing. By now, these projects helps a lot. - official pytorch - qubvel SMP - nlohmann json
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D Simple Questions Thread December 20 2020
Why are you going Mac for ML? You don't care about having CUDA support with some Nvidia GPU? For example if you were planning to run pytorch frameworks, I am not sure how your performance would be: https://github.com/pytorch/pytorch/issues/47702
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PyTorch 1.8.0 coming out soon
1.5.0 release tracker opened 19th March 2020 and actual release 21st April 2020
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Overfitting issues with LSTM
I would check our their website as it has all the resources you really need, including the community forum I mentioned, as well as tutorials and documentation.
- 30 anos de Python
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[D] Deep Learning C++ framework that can run on Android?
I already created a bug on github. https://github.com/pytorch/pytorch/issues/50944
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[P][D] What do you miss the most in PyTorch that's not in TF, and vice versa?
The need is recognized, but no progress so far: https://github.com/pytorch/pytorch/issues/25032
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How do I install pytorch on a 32 bit system?
You’d have the build the image yourself and on the 32bit system (I’m assuming your using an RPi?). This should help.
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[P] Implementation of RealFormer using pytorch
Tip: Use torch.bmm instead of torch.einsum. The former is considerably faster. Take a look at Pytorchs own MHA implementation to see how you have to do the reshaping for it.
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Apple’s New M1 Chip is a Machine Learning Beast
Again who decided this? Are you the sole maintainer of PyTorch? The Issue I linked literally asks people to stay tuned for news about M1 support and that they can't confirm anything:
I am willing to bet that the TF fork is just a pointer on how to use their APIs to add support. PyTorch doesn't seem to be outright denying support for M1, asking users to stay tuned
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Installing pytorch==0.4.1 on python3
It hasn't been removed from pypi. The reason you only see the newer versions is likely because you are using a newer version of python. The latest python version torch 0.4.1 is built for is 3.7. You either need to use an older version of Python, or build for 3.8 from source using the instructions here: https://github.com/pytorch/pytorch#from-source
Stats
pytorch/pytorch is an open source project licensed under BSD 1-Clause License which is not an OSI approved license.