swb19's repositories
deep-learning-uncertainty
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
interaction-dataset
Interaction Dataset Python Scripts
MotionPlanning
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
PathPlanning
Common used path planning algorithms with animations.
Trajectron-plus-plus
Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).
uncertainty-wizard
Uncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in parallel.
uncertainty_estimation_deep_learning
This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as described in "A General Framework for Uncertainty Estimation in Deep Learning" (Loquercio, Segù, Scaramuzza. RA-L 2020).
yet-another-vectornet
Vectornet for trajectory prediction, implemented in PyTorch/Torch_geometric (WIP)
100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
bark
Open-Source Framework for Development, Simulation and Benchmarking of Behavior Planning Algorithms for Autonomous Driving
evidential-deep-learning
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
PRDC_2021_Evaluation_module
Evaluation/visualization module for generating graphs and results presented in the paper "Benchmarking Safety Monitors for Image Classifiers with Machine Learning"
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
shifts
This repository contains data readers and examples for the three tracks of the Shifts Dataset and the Shifts Challenge.
swb19.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes