All Algorithms implemented in Python

A curated list of awesome Machine Learning frameworks, libraries and software.

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Minimal examples of data structures and algorithms in Python

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

Turns Data and AI algorithms into production-ready web applications in no time.

Machine learning, in numpy

Anomaly detection related books, papers, videos, and toolboxes

Keras code and weights files for popular deep learning models.

A list of popular github projects related to deep learning

common data analysis and machine learning tasks using python

📡 All You Need to Know About Deep Learning - A kick-starter

Collection of generative models in Tensorflow

Implementation of recent Deep Learning papers

Deep Learning for Time Series Classification

TODS: An Automated Time-series Outlier Detection System

Code for "Learning to Generate Reviews and Discovering Sentiment"

RNN based Time-series Anomaly detector model implemented in Pytorch.

Fully Convlutional Neural Networks for state-of-the-art time series classification

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

Deep learning-based outlier/anomaly detection

Learning to create Machine Learning Algorithms

Handwritten Digit Recognition using Machine Learning and Deep Learning

Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

MTAD: Tools and Benchmark for Multivariate Time Series Anomaly Detection

A framework for easy running and evaluating your TSAD algorithm.

A collection of various algorithms under ML.

McCarthy Lab@Next Tech Lab resources