Repository Index

From the basics to slightly more interesting applications of Tensorflow

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

links to conference publications in graph-based deep learning

• graph-neural-networks
• graph-convolutional-networks
• graph
• deep-learning

A curated list of awesome Jupyter projects, libraries and resources

• jupyter-notebook
• jupyter
• jupyterhub
• jupyterlab

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

• tensorflow
• machine-learning
• regression
• convolutional-neural-networks

Deep Learning Tutorial notes and code. See the wiki for more info.

Lectures on scientific computing with python, as IPython notebooks.

KTH Algorithm Competition Template Library (... eller KTHs AC-tillverkande lapp)

• algorithm
• contest
• cpp
• data-structures

:earth_americas: machine learning tutorials (mainly in Python3)

• machine-learning
• data-science
• jupyter-notebook
• python3

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

• machine-learning
• deep-learning
• lstm
• human-activity-recognition

Open-source demos hosted on Dash Gallery

• plotly-dash
• dash
• plotly

Quantitative analysis, strategies and backtests

• quantitative-finance
• quantitative-trading
• portfolio-management
• risk-management

[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..

• templates
• opensource
• naas
• notebooks-templates

TranslatedCAPTCHA recognition

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

TensorFlow Tutorials

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

Awesome Music Projects

• list
• awesome
• awesome-list
• music-notation

Implementing a Neural Network from Scratch

My own notes (drafts mostly) about software quality

• ebooks
• quality-assurance
• software-testing
• courses

⏱️ Notes and resources related to v8 and thus Node.js performance

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

APTnotes data

• apt
• malware
• analysis

Instructional notebooks on music information retrieval.

• ipython-notebook
• music-information-retrieval
• python
• machine-learning

CatBoost tutorials repository

• catboost
• tutorials
• ipython-notebook
• ipython

TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data