fregu856

PointFlow

PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

CenterNet

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

CenterNet

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

SpatialEmbeddings

Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth

bdl-benchmarks

Bayesian Deep Learning Benchmarks

Pointnet2.PyTorch

A faster implementation of PointNet++ based on PyTorch.

second.pytorch

PointPillars for KITTI object detection

PointRCNN

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

3D-BoNet

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

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".

pytracking

Visual tracking library based on PyTorch.

self-supervised-depth-completion

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

paper-tips-and-tricks

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

webviz

web-based visualization libraries

swa_gaussian

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

Bayesian_NN_Ensembles

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

csgmcmc

Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

website

hugo-blox-builder

😍 EASILY BUILD THE WEBSITE YOU WANT - NO CODE, JUST MARKDOWN BLOCKS! 使用块轻松创建任何类型的网站 - 无需代码。 一个应用程序，没有依赖项，没有 JS

pystan2

PyStan, the Python interface to Stan

bayes-by-backprop

PyTorch implementation of "Weight Uncertainty in Neural Networks"

bayes-by-backprop

" Weight Uncertainty in Neural Networks"

bayesian-neural-network-mnist

Bayesian neural network using Pyro and PyTorch on MNIST dataset

MetaSGMCMC

The code for Meta Learning for SGMCMC

CS224n_project

Neural Image Captioning in TensorFlow.

segmentation

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

2D_detection

TensorFlow implementation of SqueezeDet, trained on the KITTI dataset.

deeplabv3

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

3DOD_thesis

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