Pritam Karmokar's repositories
airlearning
Public repository for Air Learning project
boid-simulation
Experiment Boid simulations
Contrastive-Adaptation-Network-for-Unsupervised-Domain-Adaptation
pytorch implementation for Contrastive Adaptation Network
da4event-experiments
DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation
EdgeFlow_matlab
Experiment with Edgeflow
hello-world
A test file. Git beginner
imu_utils
A ROS package tool to analyze the IMU performance.
imucal
A Python library to calibrate 6 DOF IMUs
pdq_evaluation
Evaluation code for using probabilistic detection quality (PDQ) measure for probabilistic object detection tasks. Currently supports COCO and robotic vision challenge (RVC) data.
pritamKarmokar.github.io
Config files for my GitHub profile.
pyslam
pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.
python-visual-odometry
Python implementation of Visual Odometry algorithms from http://rpg.ifi.uzh.ch/
pytorch_active_learning
PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book
quad-dyn-sim
Quadrotor dynamics equations are simulated as an exercise.
rakhee-bday-2021
Birthday wishing webpage
rpg_ultimate_slam_open
Open source code for "Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High-Speed Scenarios" RA-L 2018
SLAM-Lectures-Claus-Brenner
Code implementations from the lecture series by Claus Brenner.