Dave Troy @davetroy

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**IT News** @itnewsbot@schleuss.online · Jul 9

How To Train A New Voice For Piper With Only A Single Phrase - [Cal Bryant] hacked together a home automation system years ago, which more recent... - https://hackaday.com/2025/07/09/how-to-train-a-new-voice-for-piper-with-only-a-single-phrase/ #artificialintelligence #speechsynthesis #texttospeech #chatterbox #pipervoice #pytorch #whisper #gpu

Hackaday · Jul 9How To Train A New Voice For Piper With Only A Single Phrase[Cal Bryant] hacked together a home automation system years ago, which more recently utilizes Piper TTS (text-to-speech) voices for various undisclosed purposes. Not satisfied with the robotic-soun…

**Towards Data Science** @towardsdatascience@hachyderm.io · Jun 3

Jun 3

Towards Data Science @towardsdatascience@hachyderm.io

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/

Towards Data Science · May 21Use PyTorch to Easily Access Your GPU | Towards Data ScienceOr … how an ML library can accelerate non-ML computations

**Towards Data Science** @towardsdatascience@hachyderm.io · Jun 1

Jun 1

Towards Data Science @towardsdatascience@hachyderm.io

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/

Towards Data Science · May 21Use PyTorch to Easily Access Your GPU | Towards Data ScienceOr … how an ML library can accelerate non-ML computations

**Towards Data Science** @towardsdatascience@hachyderm.io · May 21

May 21

Towards Data Science @towardsdatascience@hachyderm.io

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/

**LavX News** @lavxnews@ioc.exchange · May 8

May 8

LavX News @lavxnews@ioc.exchange

Accelerating Graph Learning with PyTorch: Unleashing the Power of torch.compile

Discover how to enhance the performance of your PyTorch graph machine learning models by leveraging the latest advancements in torch.compile. This article dives into practical techniques that achieved...

https://news.lavx.hu/article/accelerating-graph-learning-with-pytorch-unleashing-the-power-of-torch-compile

#news #tech #PyTorch

**LavX News** @lavxnews@ioc.exchange · May 8

May 8

LavX News @lavxnews@ioc.exchange

vLLM Joins PyTorch Foundation: A New Era for Large Language Model Inference

The PyTorch Foundation has officially welcomed vLLM, a high-throughput inference engine for large language models, marking a significant step in AI innovation. This integration promises enhanced perfo...

https://news.lavx.hu/article/vllm-joins-pytorch-foundation-a-new-era-for-large-language-model-inference

#news #tech #PyTorch

**TOV** @textovervideo@fosstodon.org · May 7 *

May 7 *

TOV @textovervideo@fosstodon.org

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

**Janne Moren** @jannem@fosstodon.org · May 6

May 6

Janne Moren @jannem@fosstodon.org

I wish #pytorch wasn't CUDA/ROCm only :(

I know I *can* use the nodes at work, but that's not the point. I want to use my own new toy, not somebody else's.

Any DL framework out there with good support for #Vulkan or #Opencl ?

**obrhoff** @obrhoff@mastodon.social · Apr 26

Apr 26

obrhoff @obrhoff@mastodon.social

Anyone have some good experience with a M4 Max and PyTorch? Can it compete against a NVIDIA GPU? (training and not inference)
#AppleSilicon #PyTorch #maschinelearning

**Alvin Ashcraft** @alvinashcraft@hachyderm.io · Apr 24

Apr 24

Alvin Ashcraft @alvinashcraft@hachyderm.io

PyTorch Arm native builds now available for Windows.

https://blogs.windows.com/windowsdeveloper/2025/04/23/pytorch-arm-native-builds-now-available-for-windows/

Windows Developer Blog · Apr 23PyTorch Arm native builds now available for WindowsWe are excited to announce the availability of Arm native builds of PyTorch for Windows! Until now, developers and researchers had to compile PyTorch locally to support Windows Arm64. With PyTorch 2.7 release, developers can now access Arm native bui

#windows #pytorch #python

**Mark Downie** @poppastring@dotnet.social · Apr 24

Apr 24

Mark Downie @poppastring@dotnet.social

PyTorch Arm native builds now available for Windows!

#arm64 #pytorch

https://blogs.windows.com/windowsdeveloper/2025/04/23/pytorch-arm-native-builds-now-available-for-windows/

**Anita Graser** @underdarkGIS@fosstodon.org · Apr 10

Apr 10

Anita Graser @underdarkGIS@fosstodon.org

#torchGeo Release v0.7.0

https://www.osgeo.org/community-news/torchgeo-release-v0-7-0/

torchGeo is a #PyTorch domain library designed to make it simple for #machineLearning experts to work with #EO data, providing datasets, samplers, transforms, and pre-trained models specific to #geospatial data.

OSGeotorchGeo Release v0.7.0 - OSGeo torchGeo is a PyTorch domain library designed to make it simple for machine learning experts to work with geospatial data, providing datasets, samplers, transforms, and pre-trained models specific to geospatial data. Highlights of this release torchGeo 0.7 adds … Continued

#GISChat #GeoAI

**Titus von der Malsburg** @tmalsburg@scholar.social · Mar 20

Mar 20

Titus von der Malsburg @tmalsburg@scholar.social

I'd like to buy #GPU cloud compute, with SSH access for #LLM inference (#pytorch). 32GB GPU memory is enough because I'm working with smaller models. Any recommendations?

**Towards Data Science** @towardsdatascience@hachyderm.io · Mar 15

Mar 15

Towards Data Science @towardsdatascience@hachyderm.io

Is your metric collection slowing down your training? Chaim Rand explores how inefficient metric computation can impact performance and provides optimization techniques using TorchMetrics and #PyTorch Profiler.

https://towardsdatascience.com/efficient-metric-collection-in-pytorch-avoiding-the-performance-pitfalls-of-torchmetrics/

Towards Data Science · Feb 7Efficient Metric Collection in PyTorch: Avoiding the Performance Pitfalls of TorchMetrics | Towards Data ScienceMetric collection is an essential part of every machine learning project, enabling us to track model performance and monitor training progress. Ideally, metrics should be collected and computed without introducing any additional overhead to the training process. However, just like other components of the training loop, inefficient metric computation can introduce unnecessary overhead, increase training-step […]

**Towards Data Science** @towardsdatascience@hachyderm.io · Feb 28

Feb 28

Towards Data Science @towardsdatascience@hachyderm.io

NaNs in Deep Learning workloads are amongst the most frustrating issues to encounter. Say goodbye to NaN frustration Chaim Rand's newest article provides practical solutions and code examples for tackling NaN errors in #PyTorch, helping you get your deep learning projects back on track.

https://towardsdatascience.com/debugging-the-dreaded-nan/

Towards Data Science · Feb 27Debugging the Dreaded NaN | Towards Data ScienceCapturing and reproducing failures in PyTorch training with Lightning