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Ceiba Li's Projects

nlp-tutorial icon nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

open-reid icon open-reid

Open source person re-identification library in python

opencv icon opencv

Open Source Computer Vision Library

openpose icon openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

paddleseg icon paddleseg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

person_reid_baseline_pytorch icon person_reid_baseline_pytorch

A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

pointinet icon pointinet

PointINet: Point Cloud Frame Interpolation Network

practicalai icon practicalai

📚 A practical approach to learning and using machine learning.

reinforcement-learning icon reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

resume icon resume

An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git

sort icon sort

Simple, online, and realtime tracking of multiple objects in a video sequence.

superpoint_transformer icon superpoint_transformer

Official PyTorch implementation of Superpoint Transformer introduced in "Efficient 3D Semantic Segmentation with Superpoint Transformer"

tdengine icon tdengine

An open-source big data platform designed and optimized for the Internet of Things (IoT).

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

videopose3d icon videopose3d

Efficient 3D human pose estimation in video using 2D keypoint trajectories

zhihu icon zhihu

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

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