Stars
Application of DDPG on Pursuit-Evasion Problem
Implementation Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm in keras
Feature extraction for CERT insider threat test dataset
Bayesian Modeling and Probabilistic Programming in Python
Statsmodels: statistical modeling and econometrics in Python
Restricted Boltzmann Machines in Python.
Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling
Fast, flexible and easy to use probabilistic modelling in Python.
Bayesian Python: Bayesian inference tools for Python
A software project to provide the target tracking community with a framework for the development and testing of tracking algorithms.
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Spark: The Definitive Guide's Code Repository
Paper list and source code for multi-object-tracking
A Python-based module for creating flexible and robust spike sorting pipelines.
List of Computer Science courses with video lectures.
Implementation of the CluStream algorithm
Python CluStream implementation based on MOA java implementation
Loose taxonomy of reinforcement learning algorithms
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
Scenarios, tutorials and demos for Autonomous Driving
Implementation of Graph Convolutional Networks in TensorFlow
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras