ZuckXu's repositories
Fine_Grained_Classification
Fined grained classification On Car dataset
tf-pose-estimation
Openpose from CMU implemented using Tensorflow with Custom Architecture for fast inference.
3D-Teeth-Reconstruction-from-CT-Scans
SJTU-CS337 Computer Graphics Course Project
Apollo-Note
Note for Apollo 3.0 perception, prediction and planning modules
applied-dl-2018
Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs
awesome-ehr-deeplearning
Curated list of awesome papers for electronic health records(EHR) mining, machine learning, and deep learning.
cornerstoneTools
A framework for tools built on top of Cornerstone.
deeplab-pytorch
PyTorch implementation of DeepLab (ResNet-101) + COCO-Stuff 10k
deepsleepnet
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
dingdang-robot
🤖 叮当是一款可以工作在 Raspberry Pi 上的中文语音对话机器人/智能音箱项目。
hotelcommerce
Hotel & Booking Reservation Ecommerce system on Prestashop
jitsi-meet
Jitsi Meet - Secure, Simple and Scalable Video Conferences that you use as a standalone app or embed in your web application.
keras_Realtime_Multi-Person_Pose_Estimation
Keras version of Realtime Multi-Person Pose Estimation project
MonoDepth-PyTorch
Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch
pytorch-dense-correspondence
Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"
Ros
机器人操作系统ROS 语音视觉控制 雷达建图导航
visual-pushing-grasping
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
visual-search
Visual search implementation resources, including an explanatory Jupyter notebook and Amazon SageMaker and AWS DeepLens code.
xm_arm_workspace
This ros metapackage builds the simple framework for the second generation of xmbot's manipulator, which includes the underlying driver, motion control, motion planning and motion simulation codes. About more code datails for xm-project, please visit following website: https://www.github.com/xm-project.