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isolation-forest

A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.

jupyter-dashboard

Jupyter Dashboard with Voila

jupyter-tabnine

Autocompletion with Deep Learning on Jupyter Notebook

jupyterlab

JupyterLab computational environment.

jupyterlab-drawio

A standalone embedding of the FOSS drawio / mxgraph package into jupyterlab

keras-gan

Keras implementations of Generative Adversarial Networks.

keras_deep_clustering

How to do Unsupervised Clustering with Keras

keras_ocr

用keras实现OCR定位、识别

kglab

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, pyarrow, etc.

learn-data-science-for-free

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in Twitter.

lnpy

Python code for estimation of linear-nonlinear model parameters

lstm-autoencoders

Anomaly detection for streaming data using autoencoders

lstm-gru-bilstm-in-tensorflow-for-predictive-analytics

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

lstm-sentiment-analysis

Sentiment Analysis with LSTMs in Tensorflow

lstm_stock_prediction

This is an LSTM stock prediction using Tensorflow with Keras on top.

machine-learning-with-python

Python code for common Machine Learning Algorithms

mad-gans

Applied generative adversarial networks (GANs) to do anomaly detection for time series data

markdown-here

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

mathinspector

A visual programing environment for scientific computing with python

matlab-turbidity-sensor

A student project for ENGR114 at Portland Community College. Uses MATLAB to read a turbidity sensor connected to an Arudino over serial.

matlab_kernel

Jupyter Kernel for Matlab

matplotlib

matplotlib: plotting with Python

mcmc-bayesian-parameter-estimation

Estimate Cosmological Parameters

mesa

Mesa is an agent-based modeling framework in Python

mlops-on-gcp

model-sensitivity-analysis

Latin hypercube sampling and partial rank correlation coefficients

modelica-externallibrary

Use C++ and Python objects in Modelica

modelicastandardlibrary

Free (standard conforming) library from the Modelica Association to model mechanical (1D/3D), electrical (analog, digital, machines), magnetic, thermal, fluid, control systems and hierarchical state machines. Also numerical functions and functions for strings, files and streams are included.

modulation-classification

Fully Connected Neural Network and CNN Models for Modulation Classification on a synthetic dataset, generated with GNU Radio, consisting of 10 modulations. This is a variable-SNR dataset with moderate LO drift, light fading, and numerous different labeled SNR increments for use in measuring performance across different signal and noise power scenarios.