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Pytorch Alternatives
Similar projects and alternatives to Pytorch
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Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
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tinygrad
Discontinued You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad] (by geohot)
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better Pytorch alternative or higher similarity.
Pytorch discussion
Pytorch reviews and mentions
Posts with mentions or reviews of Pytorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-05-31.
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Beware of Fast-Math
This problem is happening even on Apple MPS with PyTorch in deep learning, where fast math is used by default in many operations, leading to a garbage output. I hit it recently while training an autoregressive image generation model. Here is a discussion by folks that hit it as well:
https://github.com/pytorch/pytorch/issues/84936
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I Don't Like NumPy
I tried to do something similar with 'first-class' dimension objects in PyTorch https://github.com/pytorch/pytorch/blob/main/functorch/dim/R... .
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Grasping Computer Vision Fundamentals Using Python
To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but contextualise them with human-like reasoning. Start building, and you’ll shape how tomorrow’s machines perceive reality.
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Will Supercapacitors Come to AI's Rescue?
Paraphrasing this[1]?
[1] https://github.com/pytorch/pytorch/pull/132936/files#diff-98...
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Top Programming Languages for AI Development in 2025
With the quick emergence of new frameworks, libraries, and tools, the area of artificial intelligence is always changing. Programming language selection. We're not only discussing current trends; we're also anticipating what AI will require in 2025 and beyond.
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How to Get Started with Scikit-Learn: A Beginner-Friendly Guide to Machine Learning in Python
PyTorch
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Fine-tuning LLMs locally: A step-by-step guide
Next, we define a training loop that uses our prepared data and optimizes the weights of the model. Here's an example using PyTorch:
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Ask HN: Why hasn't AMD made a viable CUDA alternative?
> But that does not seem to be the strategy, which implies it is not so simple?
That is exactly what has been happening [1], and not just in pytorch. Geohot has been very dedicated in working with AMD to upgrade their station in this space. If you hang out in the tinygrad discord, you can see this happening in real time.
> those I have talked to say they depend on a lot more than just one or two key libraries.
Theres a ton of libraries out there yes, but if we're talking about python and the libraries in question are talking to GPUs its going to be exceedingly rare that theyre not using one of these under the hood: pytorch, tensorflow, jax, keras, et al.
There are of course exceptions to this, particular if you're not using python for your ML work (which is actually common for many companies running inference at scale and want better runtime performance, training is a different story). But ultimately the core ecosystem does work just fine with AMD GPUs, provided you're not doing any exotic custom kernel work.
[1] https://github.com/pytorch/pytorch/pulls?q=is%3Aopen+is%3Apr...
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10 Useful Tools and Libraries for Python Developers
4. PyTorch - A Deep Learning Powerhouse
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torch.export()
GraphModule compiles every instruction into low-level ATen operations.
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A note from our sponsor - SaaSHub
www.saashub.com | 19 Jun 2025
Stats
Basic Pytorch repo stats
393
90,840
10.0
3 days ago
pytorch/pytorch is an open source project licensed under BSD 3-clause "New" or "Revised" License which is an OSI approved license.
The primary programming language of Pytorch is Python.
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