PDC's repositories
DETR.detectron2
DETR implementation based on detectron2.
sparse_conv
Sparse Convolution Implementation based on Pytorch.
multiple-object-tracking-lidar
C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud
cheatsheets
Official Matplotlib cheat sheets
poodarchu.github.io.legacy
Personal Website
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
AP-loss
The implementation of "Towards accurate one-stage object detection with AP-loss" and its journal version.
automl
Google Brain AutoML
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
DeepLearningExamples
Deep Learning Examples
depth_clustering
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
Domain-Adaptive-Faster-RCNN-PyTorch
Domain Adaptive Faster R-CNN in PyTorch
fair_self_supervision_benchmark
Scaling and Benchmarking Self-Supervised Visual Representation Learning
LSHash
A fast Python implementation of locality sensitive hashing.
MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
nanoflann
nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees
OverlapNet
OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)
pdd_3years
我在拼多多的三年，以及网站崩溃时候的日志文件
rising
Provides everything needed for high performance data loading and augmentation in pytorch.
standard-readme
A standard style for README files
swav
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
torchsparse
A high-performance neural network library for point cloud processing.
wtfpython
Do you think you know Python?