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Data Hacking Project
This repo contains materials for use in a TensorFlow workshop.
A series of machine learning tutorials for Torch7
The codes I made while I practiced various TensorFlow examples
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IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
Mostly experiments based on "Advances in financial machine learning" book
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
- coursework
- fraud-detection
- introduction-to-machine-learning
- machine-learning
Growing the code out of your notebooks - the right way.
Sources codes for: Mastering Python for Finance, Second Edition
- machine-learning
- python
- ai
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
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
Presentations from H2O meetups & conferences by the H2O.ai team
- h2o
- presentations
- meetups
- h2oai
TranslatedLearning machine learning and quantitative analysis, in progress
An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.
- riemann-solver
- python
- jupyter-notebook
- book
TranslatedLLM teaching material for high school students: based on Karpathy's microgpt, for Google Colab
Urban Informatics and Visualization (UC Berkeley CP255)
Materials for GWU DNSC 6279 and DNSC 6290.
This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube
ChatGPT Python Applications integrated with third party libraries and modules
This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
- tensorflow-2
- tensorflow-lite
- on-device-ml
- model-quantization
Quantitative Economics
A collection of Jupyter notebooks in many human and computer languages for doing digital humanities. PRs welcome!