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alpha_precision_and_recall

Computes the Alpha Precision and Recall metric for evaluating sample quality and diversity of generative models.

bayesian-perception-demo

A collection of examples demonstrating the elegance and merits of representing model output and priors as probabilistic distributions, which can be integrated in a principled way using Bayes' theorem.

conditional-vae

Conditional VAE experiment code in PyTorch Lightning

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deepdem

drnn_tensorflow

Simple DRNN (Deep Regression Neural Network) implementation in TensorFlow

dslp

Code to reproduce results in the paper "Learning to Predict Navigational Patterns from Partial Observations" (RA-L 2023)

filtering-algorithms

A collection of filtering algorithms implemented as Jupyter notebooks

gmap-road-bev-generator

Google Maps Road BEV Generator

graph-search-algorithms

Collection of graph search algorithms and auxiliary functions

lat_var_bev_pred_model

Latent variable BEV prediction model

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

osqp_cpp_interface

Native C++ interface for the OSQP solver

packnet-sfm

TRI-ML Monocular Depth Estimation Repository

pc-accumulation-lib

Library for temporal accumulation of semantic point clouds generated from image and lidar senor data

perspective_mapping

Demonstration of applying direct and inverse perspective mapping to generate a top-down camera view

picie

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

predictive-world-models

Code accompanying the paper "Predictive World Models from Real-World Partial Observations" (MOST 2023)

pseudo_lidar_v2

(ICLR) Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

rainfall_modeling_open_fix

Code to reproduce results in the paper 'Probabilistic Rainfall Estimation from Automotive Lidar'

rl_agents

A collection of reinforcement learning agents

rloss

Regularized Losses (rloss) for Weakly-supervised CNN Segmentation

road_lane_network_graph_open

Code to reproduce results in the paper "Learning a Model for Inferring a Spatial Road Lane Network Graph using Self-Supervision" (ITSC 2021)

stego

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

variational_bayes_models

Library implementing the linear and logistic variational Bayes models as formulated in PRML and other sources

vbmm

Variational inference for Gaussian mixture models