Lidar's repositories
LeetCodeByCompany
Collection of LeetCode questions asked in Computer Science interviews (Categorized by Company Name)
3DUnetCNN
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
AI-Challenger-Retinal-Edema-Segmentation
4th place(top3%) solution for Retinal Edema Segmentation Challenge in 2018 AI challenger
AlphaPose
Real-Time Multi-Person Pose Estimation System
awesome-algorithm
Leetcode 题解 (跟随思路一步一步撸出代码) 及经典算法实现
AwesomeComputerVision
Awesome Computer Vision Resources
Data-Competition-TopSolution
Data competition Top Solution 数据竞赛top解决方案开源整理
Deep-Neural-Networks-HealthCare
Tangible and Practical Deep Learning Projects Repository for Healthcare such as Cancer, Drug Discovery, Genomic and More
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
FPN_Tensorflow
A Tensorflow implementation of FPN detection framework.
interview
📚 C/C++面试基础知识总结
lc-all-solutions
My own leetcode solutions by python
MICCAI2019-OpenSourcePapers
MICCAI 2019 Open Source Papers
Natural-Language-Processing-with-TensorFlow
Natural Language Processing with TensorFlow, published by Packt
NLP-Models-Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
OpenCV-with-Python-By-Example
OpenCV with Python By Example, published by packt
pysot
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
python_interview_question
关于python的面试题
pytorch-cnn-finetune
Fine-tune pretrained Convolutional Neural Networks with PyTorch
pytorch_classification
基于pytorch框架的classification万用模板
R2CNN_Faster-RCNN_Tensorflow
Rotational region detection based on Faster-RCNN.
Recommender-Systems-Competition-TopSolutions
推荐系统竞赛TOP开源解决方案汇总。
Recommender_System
王树森推荐系统公开课-基于小红书的场景讲解工业界真实的推荐系统。
RRPN_Faster-RCNN_Tensorflow
A tensorflow re-implementation of RRPN: Arbitrary-Oriented Scene Text Detection via Rotation Proposals.
Skill-Tree
🐼 准备秋招，欢迎来树上取果实
state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
tianchi_lvcai
天池竞赛Baseline分享（2018广东工业智造大数据创新大赛——智能算法赛，线上0.921无调参）
TYD_machine_learning
唐宇迪-机器学习课程