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Starred repositories
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written in Jupyter Notebook
Clear filter
🦜🔗 Build context-aware reasoning applications
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Learn how to design, develop, deploy and iterate on production-grade ML applications.
This is a repo with links to everything you'd ever want to learn about data engineering
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
The "Python Machine Learning (1st edition)" book code repository and info resource
Kubernetes community content
FinRL: Financial Reinforcement Learning. 🔥
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
TensorFlow Tutorials with YouTube Videos
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
A course in reinforcement learning in the wild
Simple tutorials using Google's TensorFlow Framework
Portfolio and risk analytics in Python
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Collection of notebooks about quantitative finance, with interactive python code.
Technical Analysis Library using Pandas and Numpy
『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)