Pinned Repositories
2D_Image_Processing_Exercises
Exercises of the course 2D Image processing
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
A-Comparative-Study-Sensor-Fusion-of-Lidar-and-Radar-using-Kalman-Filter-and-Extended-Kalman-Filter
acme
A library of reinforcement learning components and agents
aipnd-udacity-project
argoverse-api
Official GitHub repository for Argoverse dataset
Automatic-Parking
Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking
awesome-algorithms
A curated list of awesome places to learn and/or practice algorithms.
Cplusplus_OpenStreetMap_Project
Object-Detection-using-YOLO
rshn1994's Repositories
rshn1994/A-Comparative-Study-Sensor-Fusion-of-Lidar-and-Radar-using-Kalman-Filter-and-Extended-Kalman-Filter
rshn1994/Object-Detection-using-YOLO
rshn1994/acme
A library of reinforcement learning components and agents
rshn1994/Automatic-Parking
Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking
rshn1994/awesome-CARLA
👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
rshn1994/Awesome-Trajectory-Prediction
rshn1994/CODD
Cooperative Driving Dataset: a dataset for multi-agent driving scenarios
rshn1994/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
rshn1994/fastbook
The fastai book, published as Jupyter Notebooks
rshn1994/hands-on-rl
Free course that takes you from zero to Reinforcement Learning PRO 🦸
rshn1994/InnovizECCVToolKit
OpenPCDet Toolbox for LiDAR-based 3D Object Detection - Innoviz Fork
rshn1994/learn-python3
Jupyter notebooks for teaching/learning Python 3
rshn1994/Lecture_Covid_19_data_analysis
Content Material for the lecture Covid-19 data analysis
rshn1994/macad-gym
Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
rshn1994/malib
A parallel framework for population-based multi-agent reinforcement learning.
rshn1994/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
rshn1994/ML-Course-Notes
🎓 Sharing machine learning course / lecture notes.
rshn1994/NNfSiX
Neural Networks from Scratch in various programming languages
rshn1994/Object-Pursuit
Official Pytorch implementation of Object Pursuit
rshn1994/Omega.jl
Causal, Higher-Order, Probabilistic Programming
rshn1994/Portfolio
rshn1994/Python
All Algorithms implemented in Python
rshn1994/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
rshn1994/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
rshn1994/pytorch-segmentation-detection
Image Segmentation and Object Detection in Pytorch
rshn1994/rshn1994
rshn1994/sumo-rl
An interface for Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with gym, PettingZoo and RLlib.
rshn1994/tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
rshn1994/waymo-motion-prediction-2021
Waymo: Motion Prediction 2021
rshn1994/waymo-motion-prediction-challenge-2022-multipath-plus-plus
Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++