Fredrik K. Gustafsson's starred repositories
3DOD_thesis
3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.
torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
OCNet.pytorch
Please choose the openseg.pytorch project for the updated code that achieve SOTA on 6 benchmarks!
PyTorch-Encoding
A CV toolkit for my papers.
medicaldetectiontoolkit
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
probabilistic_unet
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
cityscapesScripts
README and scripts for the Cityscapes Dataset
neural-processes
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
widedeepnetworks
Code for the paper Gaussian process behaviour in wide deep networks
nuscenes-devkit
The devkit of the nuScenes dataset.
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
frustum-pointnets
Frustum PointNets for 3D Object Detection from RGB-D Data
Deep-Learning-for-Medical-Applications
Deep Learning Papers on Medical Image Analysis
pytorch-fpn
Feature Pyramid Networks in PyTorch
keras-retinanet
Keras implementation of RetinaNet object detection.
pytorch-retinanet
RetinaNet in PyTorch
3D-Machine-Learning
A resource repository for 3D machine learning
3D-Deepbox
3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)
VoxelNet-tensorflow
A 3D object detection system for autonomous driving.
pointnet.pytorch
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593