256 Open source projects that are alternatives of or similar to Coursera Ml Py

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Detect EEG artifacts, outliers, or anomalies using supervised machine learning.

WinDBG Anti-RootKit Extension

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

A large collection of system log datasets for AI-powered log analytics

🏭 JavaScript Machine Learning Toolkit

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

An Interactive Approach to Understanding Deep Learning with Keras

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

A PyTorch implementation of the Deep SVDD anomaly detection method

An open-source, low-code machine learning library in Python

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Tracking, notes and programming snippets while learning predictive analytics

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

A distributed logistic regression system based on ps-lite.

Anomaly detection related books, papers, videos, and toolboxes

Healthbot configuration examples. Scripts to manage Healthbot. Closed loop automation. Healthbot building blocks description and troubleshooting guide

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

I will update this repository to learn Machine learning with python with statistics content and materials

Tool that predicts the outcome of a Dota 2 game using Machine Learning

A log analysis toolkit for automated anomaly detection [ISSRE'16]

Anomaly detection

PCA and DBSCAN based anomaly and outlier detection method for time series data.

A toolkit for automated log parsing [ICSE'19, TDSC'18, DSN'16]

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

Simple machine learning library / 簡單易用的機器學習套件

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

A curated list of data mining papers about fraud detection.

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

正方验证码识别工具 提供多种方式

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

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Source code for my blog post "Getting started with TensorFlow on iOS"

文本分类基准测试

An Integrated Experimental Platform for time series data anomaly detection.

An Unsupervised Graph-based Toolbox for Fraud Detection

Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).

Anomaly Detection and Correlation library

Plain python implementations of basic machine learning algorithms

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

Anomaly detection implemented in Keras

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

📈 Regression and Classification with UC Davis student quiz data and exam data

Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Java version of LIBLINEAR

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

Hastic data management server for analyzing patterns and anomalies from Grafana

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Python module for hyperspectral image processing

A set of machine learning experiments in Clojure

Machine Learning Lectures at the European Space Agency (ESA) in 2018

A Python toolkit for rule-based/unsupervised anomaly detection in time series

A machine learning plugin in Open Distro for Elasticsearch for real time anomaly detection on streaming data.

Repository for the Explainable Deep One-Class Classification paper

This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.

100 Days of ML Coding