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The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

Apache Superset is a Data Visualization and Data Exploration Platform

scikit-learn: machine learning in Python

Deep Learning for humans

Learn how to develop, deploy and iterate on production-grade ML applications.

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Streamlit — A faster way to build and share data apps.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

10 Weeks, 20 Lessons, Data Science for All!

500 AI Machine learning Deep learning Computer vision NLP Projects with code

Roadmap to becoming an Artificial Intelligence Expert in 2022

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

🕸️ Web apps in pure Python 🐍

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

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

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

A curated list of references for MLOps

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

cuDF - GPU DataFrame Library

A python library for user-friendly forecasting and anomaly detection on time series.

Deep learning library featuring a higher-level API for TensorFlow.

XGo is a programming language that reads like plain English. But it's also incredibly powerful — it lets you leverage assets from C/C++, Go, Python, and JavaScript/TypeScript, creating a unified software engineering ecosystem. Our vision is to enable everyone to become a builder of the world.

Automatic extraction of relevant features from time series:

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

A collection of machine learning examples and tutorials.

A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs in the web browser, on the desktop, on mobile, and inside Jupyter notebooks.

Curated list of data science interview questions and answers

common data analysis and machine learning tasks using python

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

A next-generation curated knowledge sharing platform for data scientists and other technical professions.

BigQuery DataFrames is a scalable, pandas-compatible DataFrame library.