pytorch.github.io/_includes/research.html at bearzx-dev · pytorch/pytorch.github.io · GitHub

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<div id="research" class="container" style="display: none">
	<div class="row research-container">
		<div class="col-md-3 research-side-nav-container">
			{% include research_side_nav.html %}
		</div>
		<div class="col-md-9 research-info-container">
			<div id="research" class="row main-content blog-detail-content contributor-sidebar">
				<div class="col-md-8 offset-md-1 container">
					<div id="audio" class="research-section col-md-8 offset-md-1 container">
						<h2>Audio</h2>
						<div class="research-item">
							<a class="audio-0"
								href="https://aws.amazon.com/blogs/machine-learning/deepset-achieves-a-3-9x-speedup-and-12-8x-cost-reduction-for-training-nlp-models-by-working-with-aws-and-nvidia/">Deepset
								achieves a 3.9x speedup and 12.8x cost reduction for training NLP models by working with
								AWS and NVIDIA</a>
						</div>
						<div class="research-item">
							<a class="audio-1"
								href="https://www.youtube.com/watch?v=K5hD0et_wUc&list=PL_lsbAsL_o2BY-RrqVDKDcywKnuUTp-f3&index=19">PyTorch
								at Dolby Labs</a>
						</div>
					</div>

					<div id="chatbot" class="research-section col-md-8 offset-md-1 container">
						<h2>Chatbot</h2>
						<div class="research-item">
							<a class="chatbot-0" href="https://blogs.cisco.com/developer/graphemephoneme01">Cisco Voice
								Assistant: G2P (grapheme to phoneme) transformer</a>
						</div>
					</div>
					<div id="chemistry" class="research-section col-md-8 offset-md-1 container">
						<h2>Chemistry</h2>
						<div class="research-item">
							<a class="chemistry-0" href="https://arxiv.org/abs/2202.05240">Drug pair scoring with
								PyTorch</a>
						</div>
					</div>
					<div id="cv" class="research-section col-md-8 offset-md-1 container">
						<h2>CV</h2>
						<div class="research-item">
							<a class="cv-0" href="https://pytorch.org/blog/mapillary-research/">Mapillary Research:
								Seamless Scene Segmentation and In-Place Activated BatchNorm</a>
						</div>
					</div>
					<div id="distributed-training" class="research-section col-md-8 offset-md-1 container">
						<h2>Distributed Training</h2>
						<div class="research-item">
							<a class="distributed-training-0"
								href="https://medium.com/pytorch/how-3dfy-ai-built-a-multi-cloud-distributed-training-platform-over-spot-instances-with-44be40936361">How
								3DFY.ai Built a Multi-Cloud, Distributed Training Platform Over Spot Instances with
								TorchElastic and Kubernetes</a>
						</div>
					</div>
					<div id="federated-learning" class="research-section col-md-8 offset-md-1 container">
						<h2>Federated Learning</h2>
						<div class="research-item">
							<a class="federated-learning-0"
								href="https://aisingapore.org/2021/09/synergos-is-officially-launched/">Synergos
								Formally Launches!</a>
						</div>
					</div>
					<div id="graph" class="research-section col-md-8 offset-md-1 container">
						<h2>Graph</h2>
						<div class="research-item">
							<a class="graph-0"
								href="https://www.youtube.com/watch?v=4swsvOLzL_A&list=PL_lsbAsL_o2BSe3eS4spnodObBa3RL08E&index=2">Graph
								Convolutional Operators in PyTorch JIT</a>
						</div>
					</div>
					<div id="image-search" class="research-section col-md-8 offset-md-1 container">
						<h2>Image Search</h2>
						<div class="research-item">
							<a class="image-search-0"
								href="https://medium.com/pinterest-engineering/searchsage-learning-search-query-representations-at-pinterest-654f2bb887fc">SearchSage:
								Learning Search Query Representations at Pinterest</a>
						</div>
					</div>
					<div id="nlp" class="research-section col-md-8 offset-md-1 container">
						<h2>NLP</h2>
						<div class="research-item">
							<a class="nlp-0"
								href="https://aws.amazon.com/solutions/case-studies/AI21-case-study-p4d/">AI21 Labs
								Trains 178-Billion-Parameter Language Model Using Amazon EC2 P4d Instances, PyTorch</a>
						</div>
						<div class="research-item">
							<a class="nlp-1" href="https://youtu.be/qscouq3lo0s">The Why and How of Scaling Large Language Models</a>
						</div>
					</div>
					<div id="robotics" class="research-section col-md-8 offset-md-1 container">
						<h2>Robotics</h2>
						<div class="research-item">
							<a class="robotics-0" href="https://www.youtube.com/watch?v=se206WBk2dM">Using deep learning
								and PyTorch to power next gen aircraft at Caltech</a>
						</div>
					</div>

					<div id="text-and-speech" class="research-section col-md-8 offset-md-1 container">
						<h2>Text and Speech</h2>
						<div class="research-item">
							<a class="text-and-speech-0"
								href="https://customers.microsoft.com/en-us/story/1402696956382669362-university-of-pecs-higher-education-azure-en-hungary">University
								of Pécs enables text and speech processing in Hungarian, builds the BERT-large model
								with just 1,000 euro</a>
						</div>
					</div>


				</div>
			</div>
		</div>
	</div>
</div>