antonpuz / DeROLLinks
Deep Reinforcement One-Shot Learning Framework for Artificially Intelligent Classification Systems
☆36Updated 5 years ago
Alternatives and similar repositories for DeROL
Users that are interested in DeROL are comparing it to the libraries listed below
Sorting:
- Reinforcement Learning for Anomaly Detection☆45Updated 7 years ago
- Using RL for anomaly detection in NSL-KDD☆120Updated 2 years ago
- Source code for paper Classification with Costly Features using Deep Reinforcement Learning.☆56Updated 3 years ago
- The design of a time series anomaly detector through RNN and RL.☆36Updated 7 years ago
- [ICDM 2020] Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning☆54Updated 2 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆47Updated 4 years ago
- Anamoly Detection with Autoencoders - Credit Card Fraud Case☆16Updated 5 years ago
- Python implementation of QBSO-FS : a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection problem.☆60Updated 5 years ago
- Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks☆34Updated 5 years ago
- ☆36Updated 5 years ago
- Hands-On Meta Learning with Python☆78Updated 2 years ago
- Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.☆65Updated 2 years ago
- Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym☆40Updated 6 years ago
- Autoencoders using Keras☆77Updated 7 years ago
- Codes for Stackelberg GAN☆15Updated 6 years ago
- Reinforce Learing, Q-Rounting, Shortest-Path☆102Updated 8 years ago
- Image classification using reinforcement learning and multi-agent system☆48Updated last year
- Master's thesis about Reinforcement Learning (RL), Deep RL and Optimization for Product Delivery☆18Updated 7 years ago
- Feature selection for maximizing expected cumulative reward☆30Updated 7 years ago
- Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.☆13Updated 3 years ago
- My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow☆54Updated 3 years ago
- Fence GAN: Towards Better Anomaly Detection☆39Updated 4 years ago
- Shortest Path prediction using Graph Convolutional Networks☆27Updated 7 years ago
- Meta learning framework with Tensorflow 2.0☆118Updated 2 years ago
- PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.☆103Updated last year
- Deep Reinforcement Learning for Imbalanced Classification☆20Updated 5 years ago
- Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection☆28Updated 3 years ago
- A collection of black-box optimizers with a focus on evolutionary algorithms☆28Updated 5 years ago
- [ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection☆168Updated 2 years ago
- Here we try to detect the attack at it's first attempt using machine learning algorithms(Reinforcement l)☆11Updated 5 years ago