📚 《Deep Agents 实战》—— LangChain 官方大使出品,基于 LangChain / LangGraph 生态,从零构建生产级 AI Agent 的完整指南
Source repository for Simon Prince's textbook Understanding Deep Learning, with LaTeX sources, figures, and Jupyter notebooks.
PyTorch library for audio generation research, providing inference and training code for MusicGen, AudioGen, and EnCodec.
Reference code for Stable Diffusion, a latent text-to-image diffusion model that generates images from text prompts.
A neural network from OpenAI that scores how well text snippets match images, trained on image-text pairs for zero-shot prediction.
A beginner curriculum teaching the Model Context Protocol (MCP) with hands-on code examples in C#, Java, JavaScript, Rust, Python, and TypeScript.
Sample notebooks, code, and apps demonstrating how to build with generative AI models on Google Cloud.
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Notebooks for the third edition of Think Stats
Silero Models: pre-trained text-to-speech models made embarrassingly simple
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
An introduction to data science in Python, for people with no programming experience.
Web-based notebook environment for interactive computing, supporting code, text, and output in one document.
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
Jupyter notebooks and other resources for Think Python by Allen Downey, published by O'Reilly Media.
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
End-to-end project training and building AI models / LLMs to detect AI-written text
🎓 Academic portfolio that boosts citations. AI generates pages, you own as Markdown. BibTeX auto-import, Jupyter, LaTeX, slides, visual block editor — free to host forever. 学术主页,AI 生成,Markdown 拥有 👇
🎨🖌 Modern, bright color theme for Sublime Text
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
🌮 Trash Annotations in Context Dataset Toolkit
A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous case study. MIT licensed, no signup. By Zorost Intelligence AI Lab.
250+ Fine-tuning & RL Notebooks for text, vision, audio, embedding, TTS models.
Text and supporting code for Think Stats, 2nd Edition
FLUX, Stable Diffusion, SDXL, SD3, LoRA, Fine Tuning, DreamBooth, Training, Automatic1111, Forge WebUI, SwarmUI, DeepFake, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, Kaggle, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya, Midjourney, RunPod
Text and code for the second edition of Think Bayes, by Allen Downey.
TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
GenMedia Creative Studio is a generative media user experience highlighting the use of Gemini, Gemini Omni, Veo, Gemini Image 🍌, Gemini TTS, Chirp 3, Lyria and other generative media APIs on Google Cloud.
Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;
Text and supporting code for Modeling and Simulation in Python
Book and code for Think Complexity, 2nd edition
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations
Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises
A prompting enhancement library for transformers-type text embedding systems
The Python Code Tutorials
A Collection of Google Colab Notebooks for various projects