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CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

paper-tips-and-tricks

Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

pytracking

Visual tracking library based on PyTorch.

webviz

web-based visualization libraries

CenterNet

Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

PointRCNN

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.

second.pytorch

PointPillars for KITTI object detection

pystan2

PyStan, the Python interface to Stan

deeplabv3

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

PointFlow

PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

bdl-benchmarks

Bayesian Deep Learning Benchmarks

self-supervised-depth-completion

ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

Pointnet2.PyTorch

A faster implementation of PointNet++ based on PyTorch.

swa_gaussian

Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

3D-BoNet

🔥3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)

bayesian-neural-network-mnist

Bayesian neural network using Pyro and PyTorch on MNIST dataset

3DOD_thesis

3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.

segmentation

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

SpatialEmbeddings

Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth

bayes-by-backprop

PyTorch implementation of "Weight Uncertainty in Neural Networks"

2D_detection

TensorFlow implementation of SqueezeDet, trained on the KITTI dataset.

evaluating_bdl

Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.

agame-vos

PyTorch implementation of the paper "A Generative Appearance Model for End-to-End Video Object Segmentation".

csgmcmc

Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

Bayesian_NN_Ensembles

AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'

CS224n_project

Neural Image Captioning in TensorFlow.

bayes-by-backprop

" Weight Uncertainty in Neural Networks"

MetaSGMCMC

The code for Meta Learning for SGMCMC

website