Introduction to nanoflann: A C++ K-Nearest Neighbors Library

Introduction to nanoflann: A C++ K-Nearest Neighbors Library

Hello everyone! Today I want to introduce you to a super useful C++ library – nanoflann! It is an efficient library for K-nearest neighbor search, especially suitable for handling large-scale datasets. Whether you are working on machine learning, computer vision, or robotics, this library can help you quickly find the nearest neighbor points and improve … Read more

Creating C++ Extensions in PyTorch

Creating C++ Extensions in PyTorch

Click the above “CVer” to add it as a “star” or “pin”. Heavyweight content delivered at the first moment. Author: Monstarrrr https://zhuanlan.zhihu.com/p/100459760 This article is authorized by the author and may not be reproduced without permission. It’s the last day of 2019, and I finally filled a gap I wanted to understand for a long … Read more

BP Neural Network Algorithm and Practice

BP Neural Network Algorithm and Practice

(Click the public account above to follow quickly) Source: CodeMeals cnblogs.com/fengfenggirl/p/bp_network.html If you have good articles to submit, please click → here for details Neural networks were once very popular, went through a period of decline, and are now gaining popularity again due to deep learning. There are many types of neural networks: feedforward networks, … Read more

Mistral Launches First Programming Model Mastering 80+ Languages

Mistral Launches First Programming Model Mastering 80+ Languages

👆Click to Follow for More Programming Insights👆 French AI startup Mistral AI recently released Codestral, its first large language model (LLM) designed specifically for programming. Codestral is an open AI model tailored for code generation tasks, providing instruction sharing and code completion API interfaces to help developers write and operate code more efficiently. Proficient in … Read more

Creating a Programming Language: Pinecone

Creating a Programming Language: Pinecone

Click the image to sign up for the Guangzhou & Zhuhai Innovation Conference For the past six months, I have been working on developing a programming language called Pinecone. I can’t say it is fully mature yet, but it already has enough features (for a programming language) in use, such as: Variables Functions User-defined structs … Read more

KiCad 7.99 Source Code Learning Notes (2) – Length Adjustment Calculation

KiCad 7.99 Source Code Learning Notes (2) - Length Adjustment Calculation

Code version: 9db1dd5ec5f20d301af076301b8853b7a133eed5 Call Trace After enabling the Length Tuning Tool, it is linked to DRAWING_TOOL::PlaceTuningPattern through the corresponding binding in DRAWING_TOOL::setTransitions (pcbnew/tools/drawing_tool.cpp). Here is a snippet of the event loop handling code. When the cursor is placed over a certain line, the Length Tuning tool displays the length of that line, and the code … Read more

Deploying PyTorch Models Using C++

Deploying PyTorch Models Using C++

↑ ClickBlue Text Follow the Jishi Platform Author丨Civ@Zhihu (Authorized) Source丨https://www.zhihu.com/question/66532235/answer/2782357337 Editor丨Jishi Platform Jishi Guide This article uses the C++ inference framework ncnn as an example to introduce the general deployment process. The approach is similar for other C++ inference frameworks, with the only learning cost being the API of the inference framework itself. >> Join … Read more

OpenCV: An Image Recognition Engine

OpenCV: An Image Recognition Engine

OpenCV, an image recognition engine, is an open-source computer vision library. The name comes from “Open Source Computer Vision Library,” and it is well-known in the fields of image processing and machine vision. With OpenCV, we can easily read, edit, and analyze images. Supported features include image filtering, edge detection, shape recognition, face detection, and … Read more

Phidata: Framework for Building AI Assistants Using LLM Function Calls

Phidata: Framework for Building AI Assistants Using LLM Function Calls

  Phidata: A framework for building AI assistants using LLM function calls, allowing LLMs to intelligently choose actions based on responses by executing functions. The assistant has built-in memory, knowledge, storage, and tools, making it easy to build various applications such as knowledge assistants, data assistants, Python assistants, customer assistants, research assistants, marketing assistants, travel assistants, … 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