A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Notebooks using the Hugging Face libraries 🤗

Repo for Yale Applied Empirical Methods PHD Course

深度学习经典、新论文逐段精读

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

Download market data from Yahoo! Finance's API

Machine learning course materials.

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Statsmodels: statistical modeling and econometrics in Python

R code for Time Series Analysis and Its Applications, Ed 4

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

Code Repository for The Kaggle Book, Published by Packt Publishing

Hands-On Recommendation Systems with Python published by Packt

Examples of Data Science projects and Artificial Intelligence use cases

Microsoft Azure Fundamentals - AZ-900T00 and AZ-900T01

🪐 End-to-end NLP workflows from prototype to production

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Machine Learning in Asset Management (by @firmai)

A curated list of references for MLOps

A curated list of awesome machine learning interpretability resources.

整理知识图谱相关学习资料

推荐系统资料笔记收录/ Everything about Recommendation System. 专题/书籍/论文/产品/Demo

Curriculum for Finance

H2O.ai Machine Learning Interpretability Resources

The fastai book, published as Jupyter Notebooks

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning