swb19

Awesome-Trajectory-Prediction

Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

BayesianRLForAutonomousDriving

Carla-RL

Reinforcement Learning codebase for self-driving car in Carla

chainerrl

ChainerRL is a deep reinforcement learning library built on top of Chainer.

cvpr_dNRI

Code accompanying "Dynamic Neural Relational Inference" from CVPR 2020

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.

Deep-RL-TORCS

Autonomous Navigation using Deep Reinforcement Learning

deep_Mahalanobis_detector

Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

DeepRL-Agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

swb19/BayesianRLForAutonomousDriving

swb19/cvpr_dNRI

Code accompanying "Dynamic Neural Relational Inference" from CVPR 2020

swb19/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.

swb19/GRIP

swb19/interaction-dataset

Interaction Dataset Python Scripts

swb19/INTERPRET_challenge_regular_generalizability_track

swb19/LaneGCN

[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting

swb19/lbebm

swb19/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:

swb19/ml-multiple-futures-prediction

swb19/MotionPlanning

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

swb19/OpenTraj

Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

swb19/osp

Code for Off The Beaten Sidewalk paper (https://arxiv.org/abs/2006.00962)

swb19/PathPlanning

Common used path planning algorithms with animations.

swb19/RRB

Official implementation of "Injecting Knowledge in Data-driven Vehicle Trajectory Predictors", Published in Transportation research part C.

swb19/sgan

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

swb19/TD3

Author's PyTorch implementation of TD3 for OpenAI gym tasks

swb19/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).

swb19/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.

swb19/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).

swb19/yet-another-vectornet

Vectornet for trajectory prediction, implemented in PyTorch/Torch_geometric (WIP)

swb19/100-Days-Of-ML-Code

100-Days-Of-ML-Code中文版

swb19/AnomalyDetection-keras

swb19/bark

Open-Source Framework for Development, Simulation and Benchmarking of Behavior Planning Algorithms for Autonomous Driving

swb19/evidential-deep-learning

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

swb19/learngit

swb19/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"

swb19/reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

swb19/shifts

This repository contains data readers and examples for the three tracks of the Shifts Dataset and the Shifts Challenge.

swb19/swb19.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes