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abnormal-spatiotemporal-ae

Codes for "Abnormal Event Detection in Videos using Spatiotemporal Autoencoder".

adversarialnetspapers

The classical paper list with code about generative adversarial nets

anomaly-detection

Dynamic anomaly detection in crowded scene videos using sparse autoencoders

anomaly-detector

Movie review anomaly detector based on the auto_encoder configured GRU+Attention model

awesome-ts-anomaly-detection

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

bachelor-thesis

Computer Science Bachelor thesis exploring the effectiveness of using recurrent neural networks for anomaly detection in the Los Alamos cyber-security data set.

datastream.io

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

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

ddpg-aigym

Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments

ddpg-keras-torcs

Using Keras and Deep Deterministic Policy Gradient to play TORCS

deep-learning-for-hackers

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)

deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

distributional-dqn

Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regression' based on OpenAi DQN baselines.

emf-rbm

Extended Mean Field Restricted Boltzmann Machine

frame-level-anomalies-in-videos

Frame level anomaly detection and localization in videos using auto-encoders

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

keras-gan

Keras implementations of Generative Adversarial Networks.

koreanewscrawler

대량의 뉴스 데이터를 수집하기 위해 만들어진 뉴스 크롤러입니다.

kwon

lstm-anomaly-detect

Example code for neural-network-based anomaly detection of time-series data (uses LSTM)

lstm-ecg-wave-anomaly-detect

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

lstm_anomaly_detector

A try to autoencode an LSTM to do anomaly detection

newspaper

News, full-text, and article metadata extraction in Python 3. Advanced docs:

openai-cartpole

random search, hill climbing, policy gradient

rbm-in-anomaly-detection-simulation

A simulation for an experiment of my paper work. Focus on encoding & decoding feature vectors of network packets with RNN-RBM & GBRBM

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

stock_market_reinforcement_learning

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

tensorflow-tutorials

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