aziba353
Follow
Stars
Twelve Data Python Client - Financial data API & WebSocket
Multivariate daily data of 800 stocks from the Chinese stock market.
A library for efficient similarity search and clustering of dense vectors.
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Short wikipedia articles using Google's USE (Universal Sentence Encoder) and Annoy (Approximate Nearest Neighbors Oh Yeah)
difPy - Python package for finding duplicate and similar images
✨ Download historical price tick data for Crypto, Stocks, ETFs, CFDs, Forex via CLI and Node.js ✨
Develop navigation strategy for delivery robot on pedestrian-crowded sidewalk with social awareness
This repository contains the source code for our paper: "NaviSTAR: Socially Aware Robot Navigation with Hybrid Spatio-Temporal Graph Transformer and Preference Learning". For more details, please r…
enabling robots to account for social norms while path planning in ROS
Autonomous social navigation with dynamic obstacle avoidance using Lattice Planner (global) and Timed Path Follower (local) in hospitals environment.
[ICRA 2023] Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph
Pedestrian simulator powered by the social force model
Extended Social Force Model in Python for social navigation research
[IROS20] Relational graph learning for crowd navigation
Tentabot: Navigation Framework for Mobile Robots by Evaluating Motion Primitives (Tentacles)
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Training code for GA3C-CADRL algorithm (collision avoidance with deep RL)
Novel reinforcement learning based local planner that accounts for the dynamic constraints of the robot to enable smooth robot trajectories. Reward shaping is done to enable a spatially aware navig…
A Grounded Simulation Testing Framework for Evaluating Social Navigation: https://arxiv.org/abs/2103.00047
M.Sc Thesis: Robotic Navigation under Partial Observability with Actor-Critic Methods DDPG, SAC, PPO. Environment, Lidar, and Kinematic Models provided.
This RL project aims to make robot navigate from start to an end goal. Two cases for continuous and discrete action spaces are implemented.
Using Reinforcement Learning (RL) algorithms to plan a global route for mobile robot navigation problems. Q-learning, Sarsa, and Double Q-learning algorithms for the environment with cliff, mouse, …