Alperen Bağ's starred repositories
the-algorithm
Source code for Twitter's Recommendation Algorithm
google-research
Google Research
pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Semantic-Segment-Anything
Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).
pseudo_lidar
(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
video_analyst
A series of basic algorithms that are useful for video understanding, including Single Object Tracking (SOT), Video Object Segmentation (VOS) and so on.
Codes-for-PVKD
Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)
PointContrast
Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>
EfficientAD
Unofficial implementation of EfficientAD https://arxiv.org/abs/2303.14535
Occupancy-MAE
Official implementation of our TIV'23 paper: Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders
DeepViewAgg
[CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"
VA-DepthNet
VA-DepthNet: A Variational Approach to Single Image Depth Prediction
Unsupervised-Visual-Representation-Learning
Overview of unsupervised visual representation learning (or self-supervised learning, unsupervised pre-training) methods.
MosRep.pytorch
Mosaic Representation Learning for Self-supervised Visual Pre-training (ICLR2023, Spotlight)