”machine-learning-on-source-code“ 的搜索结果

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

source{d} datasets ("big code") for source code analysis and machine learning on source code

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)

Source code for 'Building Machine Learning and Deep Learning Models on Google Cloud Platform'

Source code for 'Hands-on Scikit-Learn for Machine Learning Applications' by David Paper

Source Code for 'Machine Learning on Geographical Data Using Python' by Joos Korstanje

Source Code for the Udemy Course Machine Learning Ops on Google Cloud:Real World Data Science

Source code for "Make machine learning predictions with TensorFlow and Azure Functions" tutorial on Microsoft Docs

My source code and solutions for the machine learning course on Coursera

Source code about machine learning and security.

翻译 - 有关机器学习和安全性的源代码。

#计算机科学#An open-source, low-code machine learning library in Python

翻译 - Python中的开源低代码机器学习库

Source code accompanying O'Reilly book: Machine Learning Design Patterns

Source code for the "Learning scikit-learn: Machine Learning in Python"

Source code for Machine Learning for Kids site

Source Code for the book Building Machine Learning Systems with Python

翻译 - 《用Python构建机器学习系统》一书的源代码

#计算机科学#适合所有人的开源机器学习框架

Source Code for the book: Machine Learning in Action published by Manning

翻译 - 该书的源代码：Manning出版的《机器学习在行动》

Source Code for Machine Learning in Action for Python 3.X

Example code snippets and machine learning code for Teachable Machine

翻译 - Teachable Machine的示例代码片段和机器学习代码

Code from Jason Brownlee's course on mastering machine learning

Code for Tensorflow Machine Learning Cookbook

Example code and applications for machine learning on Graphcore IPUs

#计算机科学#MLflow 是一个开源框架，旨在管理整个机器学习生命周期。 它可以在不同的平台上训练模型并为模型提供服务，让你能够使用相同的一组工具，而不管试验是在计算机本地、远程计算目标上、虚拟机上

Coursera Machine Learning - Python code

《Evaluating Large Language Models Trained on Code》论文代码

Source Code for 'Quantum Machine Learning with Python' by Santanu Pattanayak