12 Weeks, 24 Lessons, AI for All!
Repository Index
47,133 repositories indexed
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scikit-learn: machine learning in Python
Deep Learning for humans
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to develop, deploy and iterate on production-grade ML applications.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
- airflow
- apache
- apache-airflow
- python
30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Streamlit — A faster way to build and share data apps.
This is a repo with links to everything you'd ever want to learn about data engineering
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!
- machine-learning
- models
- ui
- ui-components
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
- tensorflow
- tutorial
- examples
- deep-learning
An Open Source implementation of Notebook LM with more flexibility and features
- assistant
- learning
- note-taking
- notebook
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Google Research
FCC China open source codebase and curriculum. Learn to code and help nonprofits.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
- awesome
- machine-learning
- deep-learning
- machine-learning-projects
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
💫 Industrial-strength Natural Language Processing (NLP) in Python
Visualizer for neural network, deep learning and machine learning models
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
- machine-learning
- deep-learning
- deep-reinforcement-learning
- machine-learning-from-scratch
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Roadmap to becoming an Artificial Intelligence Expert in 2022