AllenNLP: A Deep Learning Framework for NLP

AllenNLP: A Deep Learning Framework for NLP

AllenNLP is an open-source deep learning framework based on PyTorch that focuses on natural language processing (NLP) tasks. Developed by the Allen Institute for AI, it aims to provide researchers and engineers in NLP with a flexible, efficient, and easily extensible platform that supports a complete workflow from rapid experimentation to production-level deployment. 1. Why … Read more

Advanced PyTorch: Tensors and Gradients

Advanced PyTorch: Tensors and Gradients

Excerpt from medium Author: Aakash N S Machine Heart Compilation PyTorch is an open-source neural network library developed and maintained by Facebook. It has gained significant momentum recently, with more and more developers writing tutorials for it, and this article is one of them. This is the first article in the ‘PyTorch: Zero to GANs’ … Read more

Best Practices for Writing Elegant Code in PyTorch

Best Practices for Writing Elegant Code in PyTorch

Selected from GitHub Compiled by Machine Heart Contributors: Geek.ai, Siyuan PyTorch is one of the best deep learning frameworks, known for its simplicity and elegance, making it ideal for beginners. This article will introduce the best practices and coding styles for PyTorch. Although this is an unofficial PyTorch guide, the article summarizes over a year … Read more

Why Is PyTorch So Efficient and Easy to Use? Exploring the Framework’s Internal Architecture

Why Is PyTorch So Efficient and Easy to Use? Exploring the Framework's Internal Architecture

Selected from blog.christianperone Author:Christian S. Perone Translated by: Machine Heart Contributors: Siyuan, Huang Xiaotian, Li Zenan As a deep learning framework supported by Facebook’s Artificial Intelligence Research (FAIR) team, PyTorch has rapidly become a popular development tool since its launch in January 2017. Its advantages in debugging, compilation, and other aspects have made it widely … Read more

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

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

Visualizing Neural Network Structures in PyTorch

Visualizing Neural Network Structures in PyTorch

Click on the “CVer“, and choose to “star” or “top” it Heavyweight content delivered at the first time Author: Tian Haishan https://zhuanlan.zhihu.com/p/66320870 This article is authorized, and no secondary reproduction is allowed without permission Installation You can install it using the following commands conda install pytorch-nightly -c pytorch conda install graphviz conda install torchvision conda … Read more

Multi-Object Tracking with PyTorch

Multi-Object Tracking with PyTorch

ClickI Love Computer Vision to star and get the latest CVML technologies faster Today we introduce an open-source library for multi-object tracking implemented in PyTorch. Search for MOT tracking on Github, and this code ranks first, currently having 505 stars. This code implements the well-known Deep SORT multi-object tracking algorithm. The original implementation by the … Read more

A Collection of Common PyTorch Code Snippets

A Collection of Common PyTorch Code Snippets

Source | Jishi Platform Author | Jack Stark@Zhihu The best resources for PyTorch are the official documentation. This article is a collection of common PyTorch code snippets, with some modifications based on reference material [1](Zhang Hao: PyTorch Cookbook) for easier consultation during use. 1 Basic Configuration Import Packages and Check Versions import torch import torch.nn … Read more

Comprehensive Collection of Common PyTorch Code Snippets

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