sdc-headnode
Pytorch
| sdc-headnode | Pytorch | |
|---|---|---|
| 1 | 374 | |
| 18 | 85,822 | |
| - | 1.6% | |
| 2.9 | 10.0 | |
| 15 days ago | 5 days ago | |
| JavaScript | Python | |
| Mozilla Public License 2.0 | BSD 3-clause "New" or "Revised" License |
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.
sdc-headnode
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Bash Debugging
It's actually possible to produce a stack trace of sorts, if you use a lot of bash functions. One possible implementation is: https://github.com/TritonDataCenter/sdc-headnode/blob/master...
Pytorch
- 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
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1MinDocker #6 - Building further
pytorch
What are some alternatives?
runag - 💜 A shell library to deploy workstations and simple servers
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
zfsbootmenu - ZFS Bootloader for root-on-ZFS systems with support for snapshots and native full disk encryption
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
unix-shell-script-kit - Unix shell script kit with many utility functions, constant exit codes, and POSIX helpers.
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
pd - Linux pipeline debug
flax - Flax is a neural network library for JAX that is designed for flexibility.
templates - Starter templates for different languages
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
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java