LittleFlyFish

CarlaFLCAV

federated learning autonomous driving in CARLA simulation

chamfer_distance

Implementation of the Chamfer Distance as a module for PyTorch

SMOKE

SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

Traffic_Sign_Recognition

Use yolov5 for traffic sign detection

visdom-tutorial

A simple tutorial to use Visdom to plot your PyTorch training graphs

chamfer_distance_Mine

DCNv2_latest

DCNv2 supports decent pytorch such as torch 1.5+ (now 1.8+)

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

effcient-motion-prediction

a Hierarchical Motion prediction framework

Hello-World

A start of my schedule

Human-Motion-Analysis-with-Deep-Metric-Learning

pytorch implement of this paper: https://arxiv.org/abs/1807.11176

kitti_eval

kitti_eval_offline

evaluate KITTI detection on 40 recall points

kitti_object_vis

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

littleflyfish.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Minimal-Hand

Minimal-Hand based PyTorch (CVPR2020)

Motion-Cycle-GCN

A GCN recycle version for motion prediction

MotionImage

a deep learning frame work to coop motion problems

MotionPrediction

The model for motion prediction

MYGCN

for the GCN course

nuscenes-devkit

The devkit of the nuScenes dataset.

Open-PIFuhd

This is an implementation of PIFuhd based on Pytorch

OpenCDA

A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pyTorchChamferDistance

Implementation of the Chamfer Distance as a module for pyTorch

SBIR

the code for sketch based Image Retrieval research

traffic-sign-detection

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".