Daniel Snipes's repositories
anomaly
This is a non-trivial implementation of anomaly detection in time series as described in ( https://www.ll.mit.edu/mission/cybersec/publications/publication-files/full_papers/2012_08_05_Carter_IEEESSP_FP.pdf ).
Awesome-Hacking
A collection of various awesome lists for hackers, pentesters and security researchers
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
banpei
Anomaly detection library with Python
BiMPM
BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences
competitive-recsys
A collection of resources for Recommender Systems (RecSys)
datascienceprojects
Sample data science projects (machine learning, optimization, business intelligence)
datastream.io
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
donut
Donut is an anomaly detection algorithm for seasonal KPIs.
fast-style-transfer
TensorFlow CNN for fast style transfer! ⚡🖥🎨🖼
graphical-record-linkage
A Python encapsulation of Steorts, et. al. (2015) graphical record linkage system
implicit
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Kaggle-Demand-Forecasting-Models
Demand Forecasting Models for Kaggle competition
Medicare_Spending_Bayesian_Linear_Models
Use pythons PyMC3 library to create hierarchical linear models of county and state medicare spending
neurodsp
Tools for the Voytek Lab and friends to analyze neural time series.
practicalAI
A practical approach to learning machine learning.
pyod
A Python Toolkit for Scalable Outlier Detection (Anomaly Detection)
Reinforcement-Learning-Notebooks
A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.
RNN-Time-series-Anomaly-Detection
RNN based Time-series Anomaly detector model implemented in Pytorch.
rrcf
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
sampleproject
A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"
telemanom
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.
tensorflow_chatbot
Tensorflow chatbot demo by @Sirajology on Youtube
til
Today I Learned Some Computer Stuff
time_series_anomaly_detection_classification_clustering
the state-of-the-art repo for time_series_anomaly_detection_classification_clustering
timecop
Time series based anomaly detector
tsa-notebooks
Jupyter notebooks on time series econometrics topics.