Repository Index

Python training for business analysts and traders

• python
• jupyter
• jupyterlab
• binder

The "Python Machine Learning (1st edition)" book code repository and info resource

• machine-learning
• machine-learning-algorithms
• logistic-regression
• data-science

Reference PyTorch implementation and models for DINOv3

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

• numpy
• python
• linear-algebra
• data-science

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

• sagemaker
• aws
• reinforcement-learning
• machine-learning

Code release for NeRF (Neural Radiance Fields)

• nerf
• neural-radiance-fields

TranslatedConvert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。

• dain
• huoshan-tts
• microsoft-tts
• rife-gui

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

• deep-learning
• mit
• self-driving-cars
• deep-reinforcement-learning

Understanding Deep Learning - Simon J.D. Prince

PhotoMaker [CVPR 2024]

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

• machine-learning
• python
• data-science
• automl

Automatic extraction of relevant features from time series:

• data-science
• feature-extraction
• time-series

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

TranslatedNotes on data science and collected materials

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.

• data-drift
• jupyter-notebook
• pandas-dataframe
• machine-learning

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

• ai
• prompt-engineering
• tutorials
• llms

TranslatedBook_3_"Elements of Mathematics" | Iris Book series: from addition, subtraction, multiplication and division to machine learning; now on sale; corrections are still welcome, and readers who submit many corrections will also receive free books!

• data-science
• linear-algebra
• machine-learning
• mathematics

LLM-powered multiagent persona simulation for imagination enhancement and business insights.

All course materials for the Zero to Mastery Machine Learning and Data Science course.

• machine-learning
• data-science
• deep-learning

Collection of notebooks about quantitative finance, with interactive python code.

• quantitative-finance
• jupyter-notebooks
• kalman-filter
• option-pricing

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

• h2o
• machine-learning
• data-science
• deep-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

• machine-learning
• jupyter-notebook
• datascience
• example

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

• super-resolution
• inpainting
• matting
• image-generation

Toturials coming with the "data science roadmap" picture.