Dev tools · alternatives · 2026
24 alternatives to Use Julia Functions as PyTorch Operators
[alpha] Expose Julia functions to PyTorch. Contribute to bwasti/torch_julia development by creating an account on GitHub.
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Use Julia Functions as PyTorch Operators launched in 2019; newer entries below may have overtaken it.
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Hello HN! For the past 6 months I've been working on an open source python library that implements differentiable geometric optics in PyTorch. It's very experimental still, but eventually the goal is to use it to design optical systems with a state of the art optimization framework and a beautiful code based API. Think OpenSCAD, but for optical systems. Not only is PyTorch's autograd an amazing general purpose optimizer, but torch.nn (the neural network building blocks) can be used pretty much out of the box to model an optical system. This is because there is a strong analogy to be made…
2025 · victorpoughon.github.io · its alternatives →
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org-babel integration with Jupyter for evaluation of (Python by default) code blocks - gregsexton/ob-ipython
2015 · github.com · its alternatives →
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TorchTPU▲106Running PyTorch Natively on TPUs at Google Scale
Apr 2026 · cloud.google.com · its alternatives →
- 4OA
https://github.com/gugarosa/opytimizer Did you ever reach a bottleneck in your computational experiments? Are you tired of selecting suitable parameters for a chosen technique? If yes, Opytimizer is the real deal! This package provides an easy-to-go implementation of meta-heuristic optimizations. From agents to search space, from internal functions to external communication, we will foster all research related to optimizing stuff. Use Opytimizer if you need a library or wish to: - Create your optimization algorithm; - Design or use pre-loaded optimization tasks; -…
2021 · its alternatives →
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Launch you AI project with PyTorch through Bunnyshell
2023 · bunnyshell.com · its alternatives →
- 6GA
I'm starting to implement a barebones version of pytorch in Go. The primary motivation is: 1. I want to better learn Pytorch and how it works so what better way than to just re-implement some of its core features. 2. I write mainly in Go and haven't come across a lot of ML support in Go 3. I'd rather have a Go ML service instead of spinning up additional infrastructure to just support a python ML service in my Go projects 4. Go's static typing, native concurrency (avoid GIL problem in python), efficient memory management, single binary deployment and more make it a better interface compared…
2024 · its alternatives →
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We're a group of engineers, AI/ML enthusiasts, and author of this paper https://openreview.net/forum?id=0pxiMpCyBtr who saw a closed door in AI/ML and decided to open it. This project is a PyTorch reimagining of Google's TensorFlow Lattice models, which despite being labeled open-source, were previously open in name only (you have to be a Googler to contribute). Also, side point…TensorFlow is dying https://thenextweb.com/news/why-tensorflow-for-python-is-dyi... Here's the deal: Lattice models excel in making AI interpretable—key for sectors where…
2023 · github.com · its alternatives →
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[Deprecated, prefer calcit-editor]. Contribute to Cirru/stack-editor development by creating an account on GitHub.
2016 · github.com · its alternatives →
- 11
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained - spro/practical-pytorch
2017 · github.com · its alternatives →
- 12
The Julia Programming Language. Contribute to JuliaLang/julia development by creating an account on GitHub.
2020 · github.com · its alternatives →
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A ChatGPT mode for the Julia REPL. Contribute to ThatcherC/ReplGPT.jl development by creating an account on GitHub.
2023 · github.com · its alternatives →
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Yet another toolbox of Python 3 helper functions. Contribute to nficano/yakutils development by creating an account on GitHub.
2020 · github.com · its alternatives →
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Contribute to riicchhaarrd/deprecated-cgsc development by creating an account on GitHub.
2016 · github.com · its alternatives →
- 16
I was thinking about something like this for years, few trys before this. Started this repo last year and I think I got something that usable now. Async framework, mix sync/async python functions, compose them into DAGs, run them, schedule them, persist data between steps or let it flow just in memory. GitHub: https://github.com/walnutgeek/lythonic Docs: https://walnutgeek.github.io/lythonic/ PyPI: pip install lythonic It is dataflow. So theoretically you can compose it with pure functions only. Lythonic requires annotations for params and returns…
Apr 2026 · github.com · its alternatives →
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In this snippet I introduce and implement, but do not condone, Python “Magic functions”. Magic functions are interesting to think about and to study, but I discourage their use in anything but the most experimental of code. You’ll soon see why. A magic function is a function where
2022 · davidbieber.com · its alternatives →
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A cleaner way to build neural networks for PyTorch. - blue-season/pywarm
2019 · github.com · its alternatives →
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Tile38 python client. Contribute to mitghi/pytile38 development by creating an account on GitHub.
2017 · github.com · its alternatives →
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Implement classic neural networks from scratch without using nn.Module, to deeply understand PyTorch and model principles. - geyuxu/nn-from-scratch
Feb 2026 · github.com · its alternatives →
- 23
Curry functions using a type-safe fluent API. Contribute to willmartian/fluent-curry development by creating an account on GitHub.
2023 · github.com · its alternatives →
- 24
Learn PyTorch from scratch with simple examples.
Aug 2026 · khayyamshah2007.blogspot.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →