PDC's repositories
planet
Deep Planning Network: Control from pixels by latent planning with learned dynamics
Complex-YOLO
Complex-YOLO: Real-time 3D Object Detection on Point Clouds pytorch Darknet
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
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.
openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
kitti_object_vis
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
NPHard
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
SLAM_AND_PATH_PLANNING_ALGORITHMS
This repository contains the solutions to all the exercises for the MOOC about SLAM and PATH-PLANNING algorithms given by professor Claus Brenner at Leibniz University. This repository also contains my personal notes, most of them in PDF format, and many vector graphics created by myself to illustrate the theoretical concepts. Hope you enjoy it! :)
Intseg
Interactive Image Segmentation with Latent Diversity
pytorch-custom-cuda-tutorial
Tutorial for building a custom CUDA function for Pytorch
maskrcnn-benchmark-3d
3D object detection from stereo images.
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
SNIPER
SNIPER is an efficient multi-scale object detection algorithm
tf-fit
Fit your tensorflow model using fastai and PyTorch
dl4g
Example code for the Siggraph Asia Tutorial CreativeAI
yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.
QNNPACK
Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators
sbnet
Sparse Blocks Networks
bert
TensorFlow code and pre-trained models for BERT
adanet
Fast and flexible AutoML with learning guarantees.
FL3D
The code is implemented to show focal loss improvement based on 3D-FCN and VoxelNet for “Focal Loss in 3D Object Detection”.
pytorch-distributed
Fork of diux-dev/imagenet18
senet.pytorch
PyTorch implementation of SENet
3D-Deepbox
3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)
3DOD_thesis
3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.