AI-Course This template should help get you started developing with Vue 3 in Vite. Recommended IDE Setup VSCode + Volar (and disable Vetur) + TypeScript Vue Plugin (Volar). Customize configuration See Vite Configuration Reference. Project Setup npm install Compile and Hot-Reload for Development ...
Packages People More Popular repositoriesLoading clj-crfsuiteclj-crfsuitePublic Clojure wrapper for CRFSuite Clojure4 npionpioPublic Lightweight C/C++/C++11 header-only library for reading/writing files in Numpy .npy format. C++4 deeplearningcoursedeeplearningcoursePublic ...
A curated list of awesome online courses about Large Langage Models (LLMs). We try to monitor free available online courses about LLMs. Please open a PR or an issue if you want to suggest a list update 🤓 CodeSignal– Selected LLM/NLP course paths with Cosmo, the AI tutor 🐶✨ ...
yy0127-ai/course master BranchesTags Code Folders and files Latest commit yy0127-ai 1.生成器开发:通用字段的处理,id,createdAt,updatedAt,sortDec 15, 2023 a81782c· Dec 15, 2023 History71 Commits admin business doc/db eureka gateway generator server system .gitignore pom.xml ...
deep-learningprogramming-assignmentquizzandrew-ng-courseai-learning UpdatedNov 3, 2024 Jupyter Notebook A tool to extract plain (unformatted) multilingual text, redirects, links and categories from wikipedia backups (dumps). Designed to prepare clean training data for AI training / Machine Learning so...
This repository contains the ML For Games Course. Contribute to huggingface/making-games-with-ai-course development by creating an account on GitHub.
course.fast.ai This is where you'll find the notebooks, slides, and spreadsheets for the 2022 edition of Practical Deep Learning for Coders. See course.fast.ai for the lessons. What's here Repo root: notebooks clean folder: notebooks without prose or outputs xl: Excel spreadsheets slides: ...
Deep Learning- An Introductory course to Deep Learning using TensorFlow. Stanford Statistical Learning- Introductory course on machine learning focusing on linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularizati...
🔗Link to Course - Part 1 🔗Link to Course - Part 2 Stanford MLSys Seminars A seminar series on all sorts of topics related to building machine learning systems. 🔗Link to Lectures Machine Learning Engineering for Production (MLOps) ...
Open Machine Learning course. Contribute to girafe-ai/ml-course development by creating an account on GitHub.