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1-stage-wseg

Single-Stage Semantic Segmentation from Image Labels (CVPR 2020)

ab3dmot

Official Python Implementation for "A Baseline for 3D Multi-Object Tracking", In Submission

ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

adaptsegnet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

apollo

An open autonomous driving platform

auto-drac

Automatic Data-Regularized Actor-Critic (Auto-DrAC)

autonomous_racing_cars

This is the code and lab repository for the course ARC of TU Wien - Reproduced from https://github.com/mlab-upenn/f110-fall2019-skeletons

autoware

Open-source software for urban self-driving mobility

bubblenets

Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames

cam2bev

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

cameraradarfusionnet

carnd-semantic-segmentation

Winner of Lyft Perception Challenge

chainer-regnet

Chainer implementation of RegNet: Multimodal sensor registration using deep neural networks (with simplifications)

complex-yolo

Complex-YOLO: Real-time 3D Object Detection on Point Clouds pytorch Darknet

complex-yolov3

PyTorch implementation of Complex-YOLO paper with YoloV3

complex-yolov4-pytorch

The PyTorch Implementation based on YOLOv4 of the paper: Complex-YOLO: Real-time 3D Object Detection on Point Clouds

convmixer

ConvMixer implemented in Tensorflow 2

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

covid-net

COVID-Net Open Source Initiative

darpa-grand-challenge

DARPA-Grand-Challenge Code from Internet

depth-estimation

detectron-traffic-signs

dfdc_deepfake_challenge

A prize winning solution for DFDC challenge

dfl-colab

DeepFaceLab fork which provides IPython Notebook to use DFL with Google Colab

early-bird-tickets

[ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks

ethminer-m1

ethminer fork for M1 Macs

factseg

[TGRS 2021] FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery

fast-autoaugment-on-a-single-gpu

Fast AutoAugment, similar to official release but with a few improvements

fastbook

Draft of the fastai book