Pinned Repositories
advanced-markdown
Learn about advanced markdown techniques
Air-Pollution-Mitigation-Using-Artificial-Intelligence-A-Review
Alexa_Skill_Azure_CosmosDB
The skill, which has been built, is for any user who has their data stored in Microsoft’s Azure Cosmos-DB and would like to know the real-time value of any attribute of the same just by uttering some few words to Alexa Echo.
ARIMA_Model_Sales_Forecast
contact_state_classification
DialogFlow_Based_ChatBot
Designed Enterprise NLP based Voice Assistant using Google Dialogflow & Translate APIs for employees & customers to ensure proactive services and support.
Fire-Fighting-and-Stair-Climbing-Robot
Bachelor Thesis Project
smarc_missions
🟢 Behavior trees and such for different missions
State_Estimation_Robotics_Course
smarc_navigation
🟢 Visual odometry, localization, slam for the SMARC auvs
ShounakCy's Repositories
ShounakCy/smarc_missions
🟢 Behavior trees and such for different missions
ShounakCy/Awesome-Trajectory-Prediction
ShounakCy/contact_state_classification
ShounakCy/Fire-Fighting-and-Stair-Climbing-Robot
Bachelor Thesis Project
ShounakCy/State_Estimation_Robotics_Course
ShounakCy/awesome-visual-slam
:books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers
ShounakCy/build-your-own-x
🤓 Build your own (insert technology here)
ShounakCy/CLOCs
CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection
ShounakCy/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
ShounakCy/event-based_vision_resources
ShounakCy/Forecasting
Statistical, ML, DL
ShounakCy/GSAN
ShounakCy/havsim
A differentiable traffic simulator for calibration of traffic models and optimization of AV behavior
ShounakCy/imc_ros_bridge
🟢 Minimal library for bridging ROS and IMC messages
ShounakCy/irlmodelvalidation
This python package contains scripts needed to train IRL Driver models on HighD datasets. This code is accompanying the paper "Validating human driver models for interaction-aware automated vehicle controllers: A human factors approach - Siebinga, Zgonnikov & Abbink 2021" and should be used in combination with TraViA, a program for traffic data visualization and annotation.
ShounakCy/Lane-changing-duration-analysis
Comprehensive survival analysis of lane-changing duration
ShounakCy/LeetCode
💡 LeetCode in C++/Java/Python (respect coding conventions)
ShounakCy/master_thesis_ad
ShounakCy/NVTask
ShounakCy/PID-Controlled-Robots
Designed PID controlled Line Follower and Maze Follower Robots
ShounakCy/PiP-Planning-informed-Prediction
(ECCV 2020) PiP: Planning-informed Trajectory Prediction for Autonomous Driving
ShounakCy/PyTrafficSim
PyTrafficSim is a light traffic simulator for research related purposes. PTS is the most easy way to test your self-driving algorithm within a complicated intersection scenario.
ShounakCy/Recommendation-System-using-similarity
Recommendation System using similarity of products
ShounakCy/ros-robotics-companies
A list of robotics companies using the Robot Operating System (ROS and ROS 2).
ShounakCy/SimulationFrameworkPublic
A stable and public version of SimulationFramework for KIT Robot Praktikum usage
ShounakCy/smarc_navigation
🟢 Visual odometry, localization, slam for the SMARC auvs
ShounakCy/smarc_perception
Perception algorithms for underwater sonars and cameras
ShounakCy/stdan
the code of stdan
ShounakCy/Tensorflow_Projects
ShounakCy/traj_pred_vae