unix-shell-script-kit
Pytorch
| unix-shell-script-kit | Pytorch | |
|---|---|---|
| 2 | 376 | |
| 54 | 86,035 | |
| - | 1.8% | |
| 6.7 | 10.0 | |
| about 1 month ago | 4 days ago | |
| Shell | Python | |
| GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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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.
unix-shell-script-kit
Pytorch
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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...
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Deep Dive: Meta's AI Infrastructure and Developer Tools - A Technical Analysis
PyTorch Integration Guide
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Understanding the MLOps Lifecycle
Popular tools for model development are TensorFlow, MLFlow, and PyTorch.
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🚀 Launching a High-Performance DistilBERT-Based Sentiment Analysis Model for Steam Reviews 🎮🤖
torch: For model inference and tensor operations.
- Deprecating PyTorch's official Anaconda channel
What are some alternatives?
runag - 💜 A shell library to deploy workstations and simple servers
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
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
templates - Starter templates for different languages
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️
zfsbootmenu - ZFS Bootloader for root-on-ZFS systems with support for snapshots and native full disk encryption
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
sdc-headnode - Responsible for building and setting up the Triton (formerly SmartDataCenter) headnode.
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
tensorflow - An Open Source Machine Learning Framework for Everyone
Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor