Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
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Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A course in reinforcement learning in the wild
- reinforcement-learning
- course-materials
- deep-learning
- deep-reinforcement-learning
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
This repo contains materials for use in a TensorFlow workshop.
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
- coursework
- fraud-detection
- introduction-to-machine-learning
- machine-learning
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
- social-network
- indiana-university
- network-science
- textbook
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
Materials for GWU DNSC 6279 and DNSC 6290.
SplineDist: Automated Cell Segmentation with Spline Curves
Slides and materials for various talks I've given