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PyTorch
@PyTorch
Tensors and neural networks in Python with strong hardware acceleration.
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Learn how our developer community solves real, everyday machine learning problems with PyTorch. From Advertising & Marketing to Travel and so much in between, get to know PyTorch’s features and capabilities. Read all about PyTorch’s Community Stories: https://t.co/ceOqYIL5fR
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5/13/2022
Forte with its DataPack system brings reusability, flexibility and extensibility to large, unstructured data assets. It brings NLP to PyTorch-based systems. It makes composing NLP models easier and more effective: https://t.co/PJkJCcpHYz @PetuumInc
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4/27/2022
We’re celebrating Earth Day by highlighting a few of the great things people are doing for the earth’s ecosystem, using the PyTorch ecosystem. Read more 👉 https://t.co/XKLYpmLLk8 | https://t.co/ApLOU8i6HS | https://t.co/mfHz30WDfd
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4/22/2022
In the latest PyTorch Developer Podcast, @ezyang discusses exception handling and the murky boundary between Python, C, and C++. Listen here: https://t.co/qAtqPNadvY
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4/21/2022
Read how the open source framework PADL, developed by @lf1_io, can facilitate the use of deep learning models well beyond training. #DeepLearning #MLOps https://t.co/kYkDgqBSQd
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4/8/2022
Read how the new @PyTorch framework PADL, developed by @lf1_io, can facilitate the use of deep learning models well beyond training: https://t.co/Rfzq4WAlYe #PyTorch #DeepLearning #MLOps #ArtificialIntelligence
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4/7/2022
The new Bentley machine learning operation framework combines Microsoft Azure Machine Learning with the power of PyTorch to help you develop and deliver AI models faster and more reliably. Would you like to see how? Read on. https://t.co/IwvfIhkMUi
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4/7/2022
In this blog post, learn about the basic concepts of the LazyTensor system, and how these concepts debug performance of LazyTensor based implementations in PyTorch using PyTorchXLA Profiling solutions.https://t.co/tBmhBr6SyF
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3/18/2022
We just assessed the effectiveness of the DDP, Pipe and FSDP distributed training techniques available via PyTorch with different model sizes and network configurations. See the results here. https://t.co/vN191zRclh
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3/17/2022
Learn to use the revolutionary PyTorch machine learning framework in your Raspberry Pi based projects. New users welcome! https://t.co/Opn9R6tJrJ
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3/16/2022
Ready to run PyTorch deep learning models on the new Nvidia Jetson Nano embedded computer? This article can show you how to get the most out of the top three set-ups available right now. https://t.co/e3Xo5UbWiY
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3/16/2022
PyTorch 1.11’s FSDP API lets you train very large scale (1 trillion-plus factor) models by sharding the model across multiple processors. Here, we demonstrate how to do just that using AWS’s SRD protocol. https://t.co/uEgo5b6eyC
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3/15/2022
.@solliancenet's Baseline platform is breaking down information silos for cryptocurrency investors and quantifying text from news that could move the market. See how it’s using #AzureML to manage natural language processing of thousands of sentences: https://t.co/lJ9kLKI2cU
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3/15/2022
PyTorch 1.11 offers native support for FullyShardedDataParallel training of models with up to 1 trillion parameters. It does this by sharding the model across parallel processors, rather than being limited to a single GPU. https://t.co/jaIIAoGCrD
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3/15/2022
PyTorch 1.11 offers native support for FullySharedDataParallel training of models with up to 1 trillion parameters. It does this by sharding the model across parallel processors, rather than being limited to a single GPU. https://t.co/jaIIAoGCrD
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3/15/2022
New PyTorch domain library updates! - TorchRec in beta - TorchAudio adds Enformer- and RNN-T-based models/recipes - TorchText supports RoBERTa and XLM-R models - TorchVision adds 4 model families and 14 classification datasets Learn more👇 https://t.co/24fVso6Zox
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3/11/2022
Announcing PyTorch 1.11, TorchData, and functorch! Highlights: - TorchData, a new library for common modular data loading primitives - functorch adds composable function transforms - DDP static graph optimizations in stable Learn more👇https://t.co/WAIjrEguOg
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3/10/2022
Introducing TorchRec, a PyTorch domain library for building and deploying modern production recommendation systems, enabling multi-trillion parameter models. Learn more: https://t.co/b7hF8j87BQ
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2/23/2022
Following Day 2 talks will premiere on Dec 2, 10am PT🎥https://t.co/MNNwfk0hoo: - @mytheator | Omri Bar - TorchStudio | @divideconcept - Tutel MoE | Rafael & Yifan, MS - PopTorch | @StephenMcGro, @graphcoreai - Production ML Pipeline | @rajesh_thallam & Vaibhav, GCP
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12/2/2021
Introducing @PyTorchLive, an easy to use library of tools for creating on-device ML demos on Android and iOS. With Live, you can build a working mobile app ML demo in minutes. Learn more at https://t.co/6yv9zwBDth and post your demo with #PyTorchLive.
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12/1/2021
Tune in now to listen to our Production and Mobile speakers who'll be covering topics including TorchX, PyTorch Mobile, and PyTorch Live.
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12/1/2021
PyTorch Developer Day brings together leading academics, researchers and developers from the Machine Learning community to learn more about software releases on PyTorch and ways PyTorch is being used in academia and industry. https://t.co/4Mu3K2TkK8
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12/1/2021
The PyTorch Developer Day 2021 Livestream will begin at 7 am PST on December 1 right here on our Twitter channel. Tune in for 30 technical and educational talks, including the fireside chat from @soumithchintala and @ylecun. View the full schedule here: https://t.co/35q5WBAnoa
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11/30/2021
