Lmst

Object detection & tracking with gst-python-ml, a powerful, pure python #ML framework that supports a broad range of ML vision and language models & works seamlessly with upstream #GStreamer distributions. https://www.youtube.com/watch?v=vn7p2hXUlcs #Python #PyTorch #AI #OpenSource

🌕 miniDiffusion：純 PyTorch 實現的 Stable Diffusion 3.5
➤ 開源 Stable Diffusion 3.5 簡化實現，助力學習與開發
✤ https://github.com/yousef-rafat/miniDiffusion
miniDiffusion 是一個用純 PyTorch 語言重新實作的 Stable Diffusion 3.5 模型，旨在用於教育、實驗和開發用途。它以最簡化的程式碼量（約 2800 行）重現了 Stable Diffusion 3.5，涵蓋了從 VAE 到 DiT 以及訓練和資料集腳本。該專案包含核心圖像生成模組、SD3 組件、訓練和推論腳本，並使用了 MIT 授權許可，方便使用者進行學習和實驗。
+ 這個專案對於想了解 Stable Diffusion 內部運作原理的人來說非常棒，程式碼簡潔明瞭，方便研究。
+ 期待這個專案能有更多優化和測試，成為一個更完善的開源圖像生成工具。
#人工智慧 #機器學習 #圖像生成 #PyTorch

🚀🎨 WOW, someone spent their weekend reinventing the wheel in #PyTorch, because clearly, Stable Diffusion 3.5 wasn't stable enough! Now you can enjoy all the bugs and none of the efficiencies—because who needs progress when you have GitHub Copilot to code your mediocrity? 🤖💥
https://github.com/yousef-rafat/miniDiffusion #StableDiffusion #GitHubCopilot #softwaredevelopment #innovation #HackerNews #ngated

I have reimplemented Stable Diffusion 3.5 from scratch in pure PyTorch

https://github.com/yousef-rafat/miniDiffusion

#HackerNews #StableDiffusion #PyTorch #AI #Reimplementation #MachineLearning #GitHub

Unleashing gst-python-ml: Python-powered ML analytics for #GStreamer pipelines. The perfect duo to run complex models across multiple streams. https://col.la/gstpythonml #Python #Pytorch #AI #OpenSource

Part1: #dailyreport #cuda #nvidia #gentoo #llvm #clang
#programming #gcc #c++ #linux #toolchain #pytorch

I am compiling PyTorch with CUDA and CUDNN. PyTorch is
mainly a Python library with main part of Caffe2 C++
library.

Main dependency of Caffe2 with CUDA support is
NVIDIA "cutlass" library (collection of CUDA C++
template abstractions). This library have "CUDA code"
that may be compiled with nvcc NVIDIA CUDA compiler,
distributed with nvidia-cuda-toolkit, or with LLMV
Clang++ compiler. But llvm support CUDA only up to 12.1
version, but may be used to compile CUDA for sm_52
architecture. Looks like kneeling before NVIDIA. :)

Before installing dev-libs/cutlass you should do:
export CUDAARCHS=75

I sucessfully compiled cutlass, now I am trying to
compile PyTorch CUDA code with Clang++ compiler.

#python #Pytorch #openCV - czy uda się wam zainstalować bibliotekę w środowisku Anaconda? https://python.szkola.pl/opencv-pytorch-opis-kursu-czesc-01/

Sprawdzanie wersji biblioteki torch w Jupyter QTConcole.

Turbo-charge your everyday Python scripts by tapping the idle NVIDIA GPU sitting in your rig. Learn how Thomas Reid uses #PyTorch to offload non-ML computations with minimal code, slashing runtimes and boosting throughput — read the full breakdown FREE now.

https://towardsdatascience.com/use-pytorch-to-easily-access-your-gpu/

Are your GPUs sitting idle between ML model training runs? Thomas Reid demonstrates how #PyTorch can dramatically accelerate everyday computational tasks with minimal code modifications.

https://towardsdatascience.com/use-pytorch-to-easily-access-your-gpu/

Got an NVIDIA GPU? Thomas Reid's article reveals an absurdly easy way to accelerate your non-ML Python code using #PyTorch! See 10x+ speedups for numerical ops compared to NumPy.

https://towardsdatascience.com/use-pytorch-to-easily-access-your-gpu/

ML на «плюсах»: 5 материалов о необычном подходе к обучению моделей

Когда мы говорим о машинном обучении, то автоматически подразумеваем Python. Это справедливо: на Python есть множество удобных ML-инструментов, например, популярная библиотека PyTorch. Тем не менее, некоторые задачи можно решать с помощью С++. И не только ради эксперимента, а для увеличения производительности сервисов и упрощения работы с кодом. Кирилл Колодяжный, разработчик СХД в YADRO, несколько лет изучает машинное обучение на С++. Он уже написал программы для поиска лица на фото и для распознавания объектов в реальном времени. Под катом — пять материалов Кирилла, после которых инженерам захочется «пересесть» с Python на C++. Хотя бы на время.

https://habr.com/ru/companies/yadro/articles/911002/

#c++ #машинное_обучение #свертки #pytorch #yolo #компьютерное_зрение #face_detection

The trailer for "Python, the Documentary" by
@CultRepo
premieres today! 🔥🐍

https://youtu.be/pqBqdNIPrbo?si=Gn-tcgChdurZr6fW

#python #machinelearning #deeplearning #ai #developer #dev #devsecops #devops #mlops #learn #learning #focus #study #git #gitlab #github #codeberg #software #statistics #pandas #numpy #tensorflow #pytorch #jax #huggingface #linux #ubuntu #mint #popos #llm #openai #chatgpt

Very interested in the trajectory of this project of removing technical barriers for working with satellite imagery built on top of #pytorch https://pytorch.org/blog/how-ibm-uses-pt-terratorch/ #terratorch

So I asked #GPT to explain #RWKV and when I asked for specifics in terms of layers and activations and such it spat out a #PyTorch implementation.

Read it. Liked it. Training it.

But as I try to decipher the papers for all the different RWKV V1..V7 I find that GPT gave me is actually something like V1+per-dimension learned decay.

But it works and is simple enough to understand - though odd that there seems to have been some LLM improvisation in it's design.

#GPT first clues me in to the existence of #RWKV and #RetNet and then when I ask for details on how each works proceeds to spit out perfectly viable #Pytorch implementations of each...

Which *did* answer my questions beautifully...

But it also talked me into some experiments involving training one of each from scratch...

It turns out #LLMs love talking about implementing and training LLMs.

Effectively, reproduction? (any time they can find a willing partner with a GPU).

If you want to work with audio files in Python, here are some helpful libraries.

#Pydub allows you to play, slice, concatenate and edit audio files effortlessly.

#SoundDevice allows you to play and record audio files.

#SoundFile allows you to read and write audio files in various formats.

#Librosa allpwsbyou to #analysis music and audio files.

#TorchAudio allows you to #process audio #signals with #PyTorch

An audio file represented as a waveform using Librose audio library in Python.

Want to learn more about #ML and #PyTorch ? Join us for the PyTorch #docathon!

Anyone can participate - we'll have issues to work on for folks of all experience levels. Events like this help keep #opensource projects like PyTorch maintained and up-to-date.

Join the fun, collaborate with other PyTorch users and developers, and we'll even have prizes for the top contributors!

The kickoff is June 3.

Learn more and RSVP: https://pytorch.org/blog/docathon-2025/