Repository Index

A course in reinforcement learning in the wild

• reinforcement-learning
• course-materials
• deep-learning
• deep-reinforcement-learning

Simple tutorials using Google's TensorFlow Framework

From the basics to slightly more interesting applications of Tensorflow

TranslatedCAPTCHA recognition

• captcha-breaking
• keras-tutorials
• deep-learning
• keras

TensorFlow Tutorials

• tensorflow-tutorials
• convolutional-neural-networks
• recurrent-neural-networks

Algorithms for outlier, adversarial and drift detection

• anomaly
• outlier
• concept-drift
• detection

Handout for the tutorial "Creating publication-quality figures with matplotlib"

Synthetic data generators for tabular and time-series data

• gan-architectures
• gan
• deep-learning
• synthetic-data

CatBoost tutorials repository

• catboost
• tutorials
• ipython-notebook
• ipython

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

• seq2seq
• tensorflow
• tensorflow-tutorials
• python

Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

This repo contains materials for use in a TensorFlow workshop.

A series of machine learning tutorials for Torch7

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

Solve captcha without manually labeling a training set

• keras
• gan
• neural-network
• generative-adversarial-network

Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.

Materials for GWU DNSC 6279 and DNSC 6290.

• data-science
• data-mining
• data-visualization
• machine-learning

tutorials made for biologists to learn deep learning

• biologists
• keras
• deeplearning
• deep-learning

Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.

• big-data
• bigdata
• spark
• spark-sql

Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.

• tensorflow
• tensorflow2
• watermarking
• neural-network

Slides and materials for various talks I've given

A demonstration tutorial of using aiida-quantumespresso