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jupyterlab-variableinspector

Variable Inspector extension for jupyterlab

jupyterlab_templates

Support for jupyter notebook templates in jupyterlab

k-nearest-neighbors-with-dynamic-time-warping

Python implementation of KNN and DTW classification algorithm

kaggle-demand-forecasting-models

Demand Forecasting Models for Kaggle competition

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kapre

kapre: Keras Audio Preprocessors

kenchi

A scikit-learn compatible library for anomaly detection

keras-frcnn

keras-wavenet

Keras implementation of deepmind's wavenet paper

kneed

Knee point detection in Python :chart_with_upwards_trend:

kymatio

Wavelet scattering transforms in Python with GPU acceleration

label-studio

Label Studio is a multi-domain data labeling tool with standardized output format

labelbox

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

libpgm

A library for creating and using probabilistic graphical models

librosa

Python library for audio and music analysis

lstm-autoencoder-for-anomaly-detection

AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow

lstm-human-activity-recognition

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

lstm-sequence-to-label

Timeseries sequence to label predictions with an LSTM deep neural network

machine-learning-workflow-with-python

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

machine_flow

Machine Flow enables visual execution and tracking of machine learning workflows. Users dynamically create dependency graphs, with each node responsible for executing a task and displaying results.

madmom

Python audio and music signal processing library

madmom_models

Trained data models for madmom: https://github.com/CPJKU/madmom

madmom_tutorials

Tutorials for the madmom package.

manifold_learning

Worked examples about manifold learning using sklearn and jupyter

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

matplotlib

matplotlib: plotting with Python

mcnn

An implementation of the Multiscale Convolutional Neural Network (MCNN) architecture

mean-shift

Mean-shift clustering in Python in 100 lines

medium_notebook

Repository containing notebooks of my posts on Medium

melgan

MelGAN vocoder (compatible with NVIDIA/tacotron2)