Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activelo…

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Explanation to key concepts in ML

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

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

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Code samples for my book "Neural Networks and Deep Learning"

🏅 Collection of Kaggle Solutions and Ideas 🏅

DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported …

A game theoretic approach to explain the output of any machine learning model.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

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

NYU Deep Learning Spring 2020

Pandas integration with sklearn

Build and run Docker containers leveraging NVIDIA GPUs

Workshop: Intro to Python for Data Analysis

Workshop: Python for Data Science

common data analysis and machine learning tasks using python

machine learning and deep learning tutorials, articles and other resources

📝 An awesome Data Science repository to learn and apply for real world problems.

A curated list of awesome Machine Learning frameworks, libraries and software.

A complete daily plan for studying to become a machine learning engineer.