runag
Pytorch
runag | Pytorch | |
---|---|---|
1 | 381 | |
5 | 86,719 | |
- | 1.5% | |
9.4 | 10.0 | |
about 2 months ago | about 23 hours ago | |
Shell | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
runag
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Bash Debugging
to produce a stack trace and exit the shell in case of non-zero exit status from some-command.
[1]: https://github.com/runag/runag/blob/main/lib/fail.sh
Pytorch
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Must-Know 2025 Developer’s Roadmap and Key Programming Trends
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python, try projects that combine data with everyday problems. For example, build a simple recommendation system using Pandas and scikit-learn.
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Decorator JITs: Python as a DSL
Basically this style of code - https://github.com/pytorch-labs/attention-gym/pull/84/files - has issues like this - https://github.com/pytorch/pytorch/pull/137452 https://github.com/pytorch/pytorch/issues/144511 https://github.com/pytorch/pytorch/issues/145869
For some higher level context, see https://pytorch.org/blog/flexattention/
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Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis.
- PyTorch 2.6.0 Release
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Responsible Innovation: Open Source Best Practices for Sustainable AI
Open source frameworks like PyTorch are already enabling Machine Learning breakthroughs because they’re living communities where great things happen through:
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Golang Vs. Python Performance: Which Programming Language Is Better?
- Data Science and AI: TensorFlow, PyTorch and scikit-learn are only a few of the standard Python libraries. - Web Development: development of web-based applications is made simple by frameworks such as Flask as well as Django. - Prototyping: Python's ease of use lets you quickly iterate and testing concepts.
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How to resolve the dlopen problem with Nvidia and PyTorch or Tensorflow inside a virtual env
By chance, Tensorflow or PyTorch can work with pip packages from Nvidia.
- Making VLLM work on WSL2
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2025’s Must-Know Tech Stacks
PyTorch
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Experiments with Byte Matrix Multiplication
> It's quite common in machine learning operations to multiply a matrix of unsigned byte by a matrix of signed byte. Don't ask me why, but that's the case.
Overflow is the reason. Intel's vpmaddubsw takes int8_t and uint8_t to give you results in int16_t. If both are unsigned 255 * 255 = 65025 will be out of range for int16_t so likely the instruction is designed to take int8_t and uint8_t. The overflow (or rather saturation with this instruction) can still occur because it sums to adjacent multiplication. See my comment in PyTorch. https://github.com/pytorch/pytorch/blob/a37db5ae3978010e1bb7...
What are some alternatives?
unix-shell-script-kit - Unix shell script kit with many utility functions, constant exit codes, and POSIX helpers.
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
templates - Starter templates for different languages
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️
sdc-headnode - Responsible for building and setting up the Triton (formerly SmartDataCenter) headnode.
tensorflow - An Open Source Machine Learning Framework for Everyone
pd - Linux pipeline debug
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
zfsbootmenu - ZFS Bootloader for root-on-ZFS systems with support for snapshots and native full disk encryption
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit