The fastai book, published as Jupyter Notebooks
- notebooks
- fastai
- deep-learning
- machine-learning
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The fastai book, published as Jupyter Notebooks
Data Apps & Dashboards for Python. No JavaScript Required.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
matplotlib: plotting with Python
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
📊 Path to a free self-taught education in Data Science!
Best Practices on Recommendation Systems
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
VIP cheatsheets for Stanford's CS 229 Machine Learning
📺 Discover the latest machine learning / AI courses on YouTube.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Topic Modelling for Humans
An orchestration platform for the development, production, and observation of data assets.
🦉 Data Versioning and ML Experiments
The Cloud Native AI Platform
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
Your new Mentor for Data Science E-Learning.
A curated list of awesome big data frameworks, ressources and other awesomeness.
Python training for business analysts and traders
A curated list of references for MLOps