Explore live open-source projects and AI models.

Data Science, Machine Learning, and Deep Learning. Projects, Tutorials and Cheatsheets.

Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning

Informal IPython experiments and tutorials. TensorFlow, machine learning/deep learning/RL, NLP applications.

This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarizatio... Read more

Tutorials on Machine Learning and Deep Learning with Python

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

A carefully curated collection of high-quality libraries, projects, tutorials, research papers, and other essential resources focused on TinyML — the intersection of machine learning and ultra-low-power embedded systems.

Machine Learning with sklearn tutorials (for Pearson)

Different tutorials how to deploy Machine Learning models