The fast.ai course notebooks
- deep-learning
- fastai
- jupyter-notebooks
- machine-learning
Repository Index
71,372 visible repositories in the index
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Training materials and labs for a "Getting Started" level course on COBOL
- cobol-programming
- training-materials
- labs
- cobol
Open Machine Learning course
- machine-learning
- python
- course
- deep-learning
All notes and materials for the CS229: Machine Learning course by Stanford University
- machine-learning
- stanford-university
- neural-networks
- cs229
Applied Deep Learning Course
Starter files, final projects and FAQ for my Complete Node.js Bootcamp
- udemy
- starter-files
校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
- inference
- inference-engine
- deep-learning
- deep-neural-networks
Follow along with my AI Agents Masterclass videos! All of the code I create and use in this series on YouTube will be here for you to use and even build on top of!
A Code-First Introduction to NLP course
- nlp
- machine-learning
- data-science
- python
A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译
A complete course for learning Bitcoin programming and usage from the command
免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战
- machine-learning
- deep-learning
- girl
- python3
18.06 course at MIT
Learn how to design, develop, deploy and iterate on production-grade ML applications.
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TranslatedFull-stack AI Infra learning materials from zero to getting started: https://caomaolufei.github.io/AIInfraGuide/
Learn how to automate faceless short-form + long-form video content and dominate YouTube, TikTok, Facebook & Instagram on autopilot — from idea → script → video → scheduled posts.
Tutorial material on the scientific Python ecosystem
Five lessons, learn how to really apply AI to your .NET Applications
- ai
- azure-ai
- codespaces
- github-models
A no-fluff and highly practical masterclass that reignites engineering curiosity and helps SDE-2, SDE-3, and above become great at designing, implementing, and shipping scalable, fault-tolerant, and highly available systems at the workplace.
- system-design-project
- system-design
- system-design-interview
- system-design-questions
The repository host gives no description.
NMA Computational Neuroscience course
- neuroscience
- machine-learning
- dynamic-systems
- stochastic-processes
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
- deep-learning
- pytorch
- convolutional-neural-networks
- recurrent-neural-networks
Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.
- agents
- ai-systems
- fine-tuning
- llm