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3dssd

3DSSD: Point-based 3D Single Stage Object Detector (CVPR 2020)

centerpoint

centerpoint-1

Export CenterPoint PonintPillars ONNX Model For TensorRT

centerpointtensorrt

A trt version of CenterPoint model for Lidar Detection

centertrack

Simultaneous object detection and tracking using center points.

conformer

Implementation of the convolutional module from the Conformer paper, for use in Transformers

conformer-1

PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)

cppjieba

"结巴"中文分词的C++版本

dcnv2_latest

DCNv2 supports decent pytorch such as torch 1.5+

deepspeech.pytorch

Speech Recognition using DeepSpeech2.

deformable-pv-rcnn

3D Object Detection with Learned Deformations

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

espnet

End-to-End Speech Processing Toolkit

iou-ssd

IOU based single stage detector

jsk_recognition

JSK perception ROS packages

limbo

A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++-11)

masr

中文语音识别; Mandarin Automatic Speech Recognition;

numcpp

C++ implementation of the Python Numpy library

nutonomy_pointpillars

Convert pointpillars Pytorch Model To ONNX for TensorRT Inference

openspeech

Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.

pcdet

PCDet Toolbox in PyTorch for 3D Object Detection from Point Cloud

pointpillars_tensorrt

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-kaldi

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

qtcharts

QtCharts module

randla-net-pytorch

PyTorch implementation of RandLA-Net

randla-net-pytorch-1

:four_leaf_clover: Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

range_prediction

machine learning based driving range prediction of electric vehicles

road-boundary-detection-based-on-lidar

This algorithm is based on Velodye HDL 64E

sensor-fusion

Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar