Xixi Liu's repositories
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
awesome-uncertainty-deeplearning
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
awesome_OpenSetRecognition_list
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
deep-kNN-anomaly-detection
MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2023): Deep Nearest Neighbors for Anomaly Detection in Chest X-Rays
deep-learning-uncertainty
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
ExtendedObjectTracking
Sensor Data Fusion Group
github-slideshow
A robot powered training repository :robot:
jpda-feasible-events
Provides a Matlab class in which the user can list all feasible events given a validation matrix for the JPDA filter (Joint Probabilistic Data Association) and similar algorithms
pytorch-mdn
Mixture Density Networks for PyTorch
reading-frustum-pointnets-code
小组用来研究和阅读frustum-points的代码所用的仓库
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Reinforcement_learning_tutorial_with_demo
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..