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Light-field imaging application for plenoptic cameras
Light field geometry estimator for plenoptic cameras
Repository for WormSwin: Instance segmentation of C. elegans using vision transformer as appeared in Nature Scientific Reports 2023.
Tierpsy / tierpsy-tracker
Forked from ver228/tierpsy-trackerMulti-Worm Behaviour Tracker. README here:
Official implementation for the paper "Full-Order Sampling-Based MPC for Torque-Level Locomotion Control via Diffusion-Style Annealing". DIAL-MPC is a novel sampling-based MPC framework for legged …
[CVPR2023] The official repo for OC-SORT: Observation-Centric SORT on video Multi-Object Tracking. OC-SORT is simple, online and robust to occlusion/non-linear motion.
Simple Online Realtime Tracking with a Deep Association Metric
WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans
OpenMMLab Detection Toolbox and Benchmark
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
PyTorch deep learning projects made easy.
Realtime C. elegans worm tracker based on Deep Object Detection (YOLO) and Tracking (Strong SORT) models
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
[IEEE RA-L'25] NavRL: Learning Safe Flight in Dynamic Environments (NVIDIA Isaac/Python/ROS1/ROS2)
Transform Frenet (s,d) to local Cartesian (x,y) coordinates.
A simulated satellite communications downlinks environment for training reinforcement learning to control a deformable mirror in a wavefront sensorless adaptive optics system
A framework for performing optical propagation simulations, meant for high contrast imaging, in Python.
A useful set of tools for Adaptive Optics in Python
Python sample codes and textbook for robotics algorithms.
An educational resource to help anyone learn deep reinforcement learning.
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random g…
Code accompanying the paper "Learning Agile Robotic Locomotion Skills by Imitating Animals"
PyTorch implementation of soft actor critic
Implementation of Adaptive Optics control with Multi-Agent Model-Free Reinforcement Learning