OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Benchmark of detection methods for anomalies and obstacles in traffic images.

Paper implementation of SynBoost

stixelnet for obstacle region detection of road scenes

Semantic Image Synthesis with SPADE

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

Semantic Segmentation in Pytorch

Detecting the Unexpected via Image Resynthesis

Source code for baselines of the Stanford 3D Point Cloud Completion Benchmark (completion3d.stanford.edu) and TopNet: Structural Point Cloud Decoder, CVPR 2019

This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Implicit Geometric Regularization for Learning Shapes

Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

Machine learning glossary

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

SAL: Sign Agnostic Learning of Shapes From Raw Data

g2o: A General Framework for Graph Optimization

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

Python binding of SLAM graph optimization framework g2o

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

Code for NeurIPS 2019 paper "Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis"

An educational resource to help anyone learn deep reinforcement learning.