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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Examples and guides for using the OpenAI API
Learn how to develop, deploy and iterate on production-grade ML applications.
12 Weeks, 24 Lessons, AI for All!
This is a repo with links to everything you'd ever want to learn about data engineering
🔊 Text-Prompted Generative Audio Model
10 Weeks, 20 Lessons, Data Science for All!
Anthropic's Interactive Prompt Engineering Tutorial
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
A guidance language for controlling large language models.
📡 Simple and ready-to-use tutorials for TensorFlow
StableLM: Stability AI Language Models
A multi-voice TTS system trained with an emphasis on quality
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.
Sample code for Channel 9 Python for Beginners course
Overview and tutorial of the LangChain Library
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
Silero Models: pre-trained text-to-speech models made embarrassingly simple
Create delightful software with Jupyter Notebooks
A Bulletproof Way to Generate Structured JSON from Language Models
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Plain python implementations of basic machine learning algorithms
Simple chat program that communicates using inaudible sounds
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
Lectures for INFO8010 Deep Learning, ULiège
Collection of useful machine learning codes and snippets (originally intended for my personal use)