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21 Lessons, Get Started Building with Generative AI
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A latent text-to-image diffusion model
12 Lessons to Get Started Building AI Agents
🔊 Text-Prompted Generative Audio Model
This is a repo with links to everything you'd ever want to learn about data engineering
Google Research
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Convert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Understanding Deep Learning - Simon J.D. Prince
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
Democratizing Reinforcement Learning for LLMs
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
Materials for the Hugging Face Diffusion Models Course
Notes about courses Dive into Deep Learning by Mu Li
All notes and materials for the CS229: Machine Learning course by Stanford University
Qwen3-omni is a natively end-to-end, omni-modal LLM developed by the Qwen team at Alibaba Cloud, capable of understanding text, audio, images, and video, as well as generating speech in real time.
Handout for the tutorial "Creating publication-quality figures with matplotlib"
LLMs-from-scratch项目中文翻译
中文翻译的 Hands-On-Large-Language-Models (hands-on-llms)，动手学习大模型
Code and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"
”数学不难“ 之 《线性代数不难》上下册，66话题完册；欢迎批评指正