Comprehensive Collection of Common PyTorch Code Snippets

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Comprehensive Collection of Common PyTorch Code Snippets

↑ ClickBlue Text Follow the Extreme Market Platform Author丨Jack Stark@Zhihu Source丨https://zhuanlan.zhihu.com/p/104019160 Extreme Market Guide This article is a collection of common code snippets in PyTorch, covering five aspects: basic configuration, tensor processing, model definition and operation, data processing, and model training and testing, along with several notable tips. The content is very comprehensive. Join the … Read more

Speeding Up PyTorch by Four Times: Enhancing DALI Utilization and Creating CPU-Based Pipelines

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Speeding Up PyTorch by Four Times: Enhancing DALI Utilization and Creating CPU-Based Pipelines

Big Data Digest Production Source:Medium Compiled by:Zhao Jike In recent years, there have been significant advancements in deep learning hardware, with Nvidia’s latest products, the Tesla V100 and Geforce RTX series, featuring dedicated tensor cores designed to accelerate common operations in neural networks. Notably, the V100 has sufficient capability to train neural networks at thousands … Read more

Major Update to PyTorch Official Tutorial: Enhanced Indexing for Beginners

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Major Update to PyTorch Official Tutorial: Enhanced Indexing for Beginners

Yuyang from Aofeisi Quantum Bit Report | WeChat Official Account QbitAI The official PyTorch tutorial has been significantly updated: It now offers a tag index, enhances topic categorization, and is more beginner-friendly. No longer do you have to face a whole page of tutorial articles in confusion; you can now precisely click where you want … Read more

17 Methods To Speed Up PyTorch Training

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17 Methods To Speed Up PyTorch Training

Selected from efficientdl.com Author: LORENZ KUHN Translated by: Machine Heart Editor: Chen Ping Master these 17 methods to accelerate your PyTorch deep learning training with minimal effort. Recently, a post on Reddit gained immense popularity. The topic was about how to speed up PyTorch training. The original author is LORENZ KUHN, a master’s student in … Read more

Using PyTorch to Simulate Drug Interactions with HUAWEI Pangu Model

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Using PyTorch to Simulate Drug Interactions with HUAWEI Pangu Model

## HUAWEI Pangu Model: From Weather Forecasting to New Drug Development Recently, the tech world has been buzzing with HUAWEI’s Pangu model making frequent appearances, predicting the weather one moment and working on new drug development the next. The Pangu model, as its name suggests, is indeed impressive. It is not a simple model but … Read more

Enhancing Model Training Efficiency with PyTorch Lightning Bolts

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Enhancing Model Training Efficiency with PyTorch Lightning Bolts

PyTorch Lightning Bolts is an extension library officially launched by PyTorch Lightning, aiming to accelerate model development and training. It provides commonly used deep learning components, pre-trained models, data loaders, and utilities that can significantly simplify the development process, allowing developers to focus on research and optimizing model performance. Whether you are a beginner or … Read more

Building and Training Deep Learning Models with PyTorch

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Building and Training Deep Learning Models with PyTorch

PyTorch occupies an important position in the field of deep learning. In real life, it is widely used in various areas such as image recognition and natural language processing. For example, in medical image diagnosis, models built with PyTorch can quickly and accurately identify lesions in X-ray and CT images; in intelligent customer service systems, … Read more

Distributed TensorFlow Training with Amazon SageMaker

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Distributed TensorFlow Training with Amazon SageMaker

Machine Heart Reprint Source: AWS Official Blog Author: Ajay Vohra TensorFlow is an open-source machine learning (ML) library widely used for developing large deep neural networks (DNNs), which require distributed training and utilize multiple GPUs across various hosts.Amazon SageMaker is a managed service that simplifies the ML workflow starting from labeled data through active learning, … Read more

When AI Becomes a Capability: Amazon SageMaker Arrives

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When AI Becomes a Capability: Amazon SageMaker Arrives

What is AI? An application, or a technology? Today, as AI becomes more prevalent, it resembles a capability, a capability that permeates various industries and scenarios, enabling intelligent applications. As AI enters the “capability era”, its “three essentials” (data, algorithms, computing power) indicate that algorithms are becoming increasingly important, as they are the core element … Read more

Amazon SageMaker JumpStart: Get Started with Llama3

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Amazon SageMaker JumpStart: Get Started with Llama3

On April 18th, local time in the US, Meta released the highly anticipated open-source large language model Llama3, which offers two model sizes: 8B and 70B parameters, with a 400B version expected to be released in the future. Meta mentioned in their blog that thanks to improvements in training techniques, the Llama3 models, both 8B … Read more