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adaptive-alerting

Anomaly detection for streaming time series, featuring automated model selection.

aindnet

Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (CVPR 2020)

anomaly-and-motif-detection

The project involved using mining time-series data and analyzing it to find small motifs or anomalous signatures. To this end, we used common anomaly detection tools such as Isolation Forest, Extended Isolation Forest, Eamonn Keogh’s Matrix Profile and Auto Encoder neural network. We created a graphical UI to allow a broad range of company employees to use it for exploring our findings. In the next project of the company (further research) the company aims to correlate our findings with pollution or maintenance related behavior patterns.

arxiv-stats

autorl-bench

awesome-ts-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

backtest

Back test

backtrader

Python Backtesting library for trading strategies

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

basic_risk_reward_analysis

This notebook demonstrates the use of the pandas library to perform some basic analysis on risk and reward of stock funds.

batch-instance-normalization

Batch-Instance Normalization (BIN)

bert

TensorFlow code and pre-trained models for BERT

brian2

Brian is a free, open source simulator for spiking neural networks.

capsule-on-timeseries

Ablation Study of CapsuleNetwork on TimeSeries

cbof

Bag-of-Features Pooling for Deep Convolutional Neural Networks

conv_opt

Python package for linear and quadratic programming

cs230

Generative Adversarial Network for Stock Market Price Prediction

ctc-executioner

Master Thesis: Limit order placement with Reinforcement Learning

da_finance

dain

Deep Adaptive Input Normalization for Time Series Forecasting

darts

A python library for easy manipulation and forecasting of time series.

dbg-pds-tensorflow-demo

Making predictions on prices in the Deutsche Börse Public Dataset using neural networks

deep-direct-reinforcement-learning-for-financial-signal-representation-and-trading

A deep learning model for Financial Signal Representation and Trading

deep-finance

Datasets, papers and books on AI & Finance.

deep-image-prior

PyTorch implementation of the CVPR 2018 paper Deep Image Prior by Dmitry Ulyanov et. al.

deep-learning-machine-learning-stock

Stock for Deep Learning and Machine Learning

deep-neuro-fuzzy

deep-q-trading-agent

Deep RL stock trading agent

deep-reinforcement-stock-trading

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

deepadots

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