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Code-base for autonomous racing competition 2023.
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
Study of model compression techniques: Knowledge distillation, Quantization, and Pruning
PyTorch Lightning based training of Semantic Segmentation models
Python implementation of Bayesian filter, Kalman filter and Particle filter on a toy example.
Autonomous drone simulation with LQR controller, trajectory planning, obstacle avoidance features in ROS2 and Python
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)
Collision risk estimation using stochastic motion models
Summarize Massive Datasets using Submodular Optimization
apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.rea…
patilunmesh / OLSAC
Forked from IvLabs/OLSACOpen-Source Library For Swarm Algorithm And Communication
Final assignment solution for self driving car specialization on coursera by uTorronto
refer to the paper in the link
Reading papers related to motion planning and control, and summarizing.
This repository contains multiple approaches for generating global racetrajectories.
Predicting Future Occupancy Grids in Dynamic Environment with Spatio-Temporal Learning
Repository for Autonomous Delivery Robot project of IvLabs, VNIT
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Master the command line, in one page