Repository Index

Simple tutorials using Google's TensorFlow Framework

From the basics to slightly more interesting applications of Tensorflow

: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

Quantitative analysis, strategies and backtests

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

TranslatedCAPTCHA recognition

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

TensorFlow Tutorials

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

Implementing a Neural Network from Scratch

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

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

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

Data Hacking Project

A series of machine learning tutorials for Torch7

Growing the code out of your notebooks - the right way.

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

TranslatedLLM teaching material for high school students: based on Karpathy's microgpt, for Google Colab

How to create a Cartoonizer Android app with TensorFlow Lite models.

• tensorflow-lite
• tflite
• computer-vision
• gans

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

How to create Selfie2Anime from tflite model to Android.

• tensorflow-lite
• selfie2anime
• gans
• android

Simple demo of filtering signal with an LPF and plotting its Short-Time Fourier Transform (STFT) and Laplace transform, in Python.

• stft
• hanning-window
• laplace-transform
• fft