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Pytorch Alternatives
Similar projects and alternatives to Pytorch
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Data Platform where developers build real-time applications for analytics, IoT and cloud-native services in less time with less code.
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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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mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
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Zigi
Delete the most useless function ever: context switching.. Zigi monitors Jira and GitHub updates, pings you when PRs need approval and lets you take fast actions - all directly from Slack! Plus it reduces cycle time by up to 75%.
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jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
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Apache Spark
Apache Spark - A unified analytics engine for large-scale data processing
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stable-diffusion
Optimized Stable Diffusion modified to run on lower GPU VRAM (by basujindal)
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huggingface_hub
All the open source things related to the Hugging Face Hub.
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React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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stable-diffusion
This version of CompVis/stable-diffusion features an interactive command-line script that combines text2img and img2img functionality in a "dream bot" style interface, a WebGUI, and multiple features and other enhancements. [Moved to: https://github.com/invoke-ai/InvokeAI] (by lstein)
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Scout APM
Truly a developer’s best friend. Scout APM is great for developers who want to find and fix performance issues in their applications. With Scout, we'll take care of the bugs so you can focus on building great things 🚀.
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 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 2022-11-21.
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Running Serverless ML on AWS Lambda
Then we add the 🤗 Hugging Face transformers library mentioned above, specifying it should also install the PyTorch ML framework it will use under the hood.
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Safety of downloading random checkpoints
It's already there? Except it still uses Unpickle, just overloading it to skip at least one problematic thing. I believe (I am not an expert), it using 'GLOBAL' is still a problem.
- Meta says it will lay off more than 11,000 employees
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Tinygrad: A simple and powerful neural network framework
Thanks, that's certainly helpful anecdotal evidence.. yeah it seems like there should be an "AllNorm" implementation that covers all cases and is just fast. I was wondering because I'm currently looking at math_group_norm, which was ported from PyTorch/XLA and it results in a really weird decomposition that I'm astonished works at all. https://github.com/pytorch/pytorch/blob/master/aten/src/ATen...
I'm also wondering if the handcoded backward passes are actually "numerically correct", because e.g. epsilon doesn't appear in it at all. Someone worked out the gradients manually for BN here: https://web.archive.org/web/20180826123459/http://cthorey.gi...
You can clearly see epsilon appearing in the output. And of course there's the whole training vs. eval mode thing with BN which GN doesn't have.
In any case, thanks again.
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All of a sudden I care about Compute. When will AMD become competitive in this not-so-niche market?
This might not apply in your circumstance where you are required to use dockerized model, but if one just wants pytorch working in a python3 virtual environment, I wonder if instruction on the front page of pytorch.org "Just Works"?
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Child questions about core aspects of philanthropy
Beyond philanthropy are many open projects, but they are generally focused on technology as good in itself, rather than strategizing about how to do the most good. This is still effective though, as it's produced much of the technology that now runs civilization. Prominent examples include most of the popular web browsers (even Microsoft Edge is built on Chromium), major operating systems (e.g. https://www.kernel.org/), major AI libraries (https://pytorch.org/ or https://www.tensorflow.org/), and many others (https://en.wikipedia.org/wiki/List_of_free_and_open-source_software_packages).
- A Team at Microsoft is Helping Make Python Faster
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[Guide] DreamBooth Training with ShivamShrirao's Repo on Windows Locally
If you receive an error about a missing GPU, try "pip uninstall torchvision" then run the official PyTorch install command here (I'm using CUDA 11.3): https://pytorch.org/
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5 Open-Source Deep Learning Python Tools for Imaging Super-Resolution (Article)
I mean scientific-grade Python libraries like https://pytorch.org https://numpy.org https://scipy.org etc, which exist for about 10 years (your comment may be ok in 2001, but now it's a bit outdated;)
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The Illustrated Stable Diffusion
I'm not aware of tensor shape type safety (in general) being widely used in deep learning, let alone sum-types. I believe Pytorch and TensorFlow lack support for tensor shape type checking (looks like there is a Pytorch issue open: https://github.com/pytorch/pytorch/issues/26889).
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A note from our sponsor - Sonar
sonarsource.zoom.us | 30 Nov 2022
Stats
Basic Pytorch repo stats
209
60,605
10.0
2 days ago
pytorch/pytorch is an open source project licensed under BSD 1-Clause License which is not an OSI approved license.
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