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anomalydetection

Twitter's Anomaly Detection in Pure Python

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-rl

Reinforcement learning resources curated

bachelor-project

basics

📚 Learn ML with clean code, simplified math and illustrative visuals.

bringing-old-photos-back-to-life

Bringing Old Photo Back to Life (CVPR 2020 oral)

council-gan

Implementation for our paper Breaking the Cycle - Colleagues are all you need (CVPR 2020)

cyberattack-detection

Cyber Attack Detection thanks to Machine Learning Algorithms

d4rl

A benchmark for offline reinforcement learning.

ddos-attack-detection

Uses Machine Learning to detect live DDoS attacks

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deoldify

A Deep Learning based project for colorizing and restoring old images (and video!)

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

dohlyzer

DoHlyzer is a DNS over HTTPS (DoH) traffic flow generator and analyzer for anomaly detection and characterization.

dynamite-nsm

DynamiteNSM is a free Network Security Monitor developed by Dynamite Analytics to enable network visibility and advanced cyber threat detection

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fastbook

Draft of the fastai book

from_fourier_to_koopman

Linear and non-linear spectral forecasting algorithms

gpu-efficient-networks

gym-toyenv

Tutorial about implementing custom environments using OpenAI gym framework designed for Software for Intelligent Systems and Artificial Intelligence course.

hands-on-reinforcement-learning-with-pytorch

Hands-on Reinforcement Learning with PyTorch, published by [Packt]

intro-to-dl

Resources for "Introduction to Deep Learning" course.

kitsune-py

A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)

liac-arff

A library for read and write ARFF files in Python

lunet

Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection

machine-learning-python

The repository contains data processing, data analyze ,feature engineering and finally make a predictive model by using machine learning algorithm. https://www.linkedin.com/in/nilufayeasmin/

mushroom-rl

Python library for Reinforcement Learning.