yiming-lzx's repositories
AutoML-IASD
An AutoML system based on PySpark that can be distributed on a cluster and integrated with AWS.
BCNN-keras-clean
Bilinear CNN implementation with keras.
ChineseAddress_OCR
Photographing Chinese-Address OCR implemented using CTPN+CTC+Address Correction. 拍照文档中文地址文字识别。
Deep-Image-Matting
Deep Image Matting
DeepFashion2
DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf
Ensemble_model_PySpark
ensemble model, PySpark, stacking, bagging, boosting
FaceBoxes.PyTorch
A PyTorch Implementation of FaceBoxes
fashion-recommendation
A clothing retrieval and visual recommendation model for fashion images.
featuretools4s
Run FeatureTools to automate Feature Engineering distributionally on Spark.
featuretoolsOnSpark
A simplified version of featuretools for Spark
fk-visual-search
Flipkart's visual search and recommendation system
flask-keras-cnn-image-retrieval
🚀CNN-based image retrieval built on Keras
keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
M5_competition
Time Series Forecasting Project
mmlspark2.4
Microsoft Machine Learning for Apache Spark
PaddleClas
A treasure chest for visual recognition powered by PaddlePaddle
Product-recommendation-based-on-visual-similarity
Compute visual similarities with CNNs and use those metrics for product recommendation.
pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
recsys_spark
Spark SQL 实现 ItemCF，UserCF，Swing，推荐系统，推荐算法，协同过滤
spark-graphframes-aggregate-messages-examples
Usage examples of GraphFrames aggregateMessages
spark-ml-source-analysis
spark ml 算法原理剖析以及具体的源码实现分析
SparrowRecSys
A Deep Learning Recommender System. SparrowRecSys是一个电影推荐系统，名字SparrowRecSys（麻雀推荐系统），取自“麻雀虽小，五脏俱全”之意。项目是一个基于maven的混合语言项目，同时包含了Spark，Jetty Server，TensorFlow等推荐系统的不同模块。希望你能够利用SparrowRecSys进行推荐系统的学习，并有机会一起完善它。
Stacking-Machine-Learning-Method-Pyspark
The project is an implementation of popular stacking machine learning algorithms to get better prediction. We use PySpark for this implementation. It uses Naive Bayes, SVM and Logistic Regression.
Ultra-Light-Fast-Generic-Face-Detector-1MB
💎 一款超轻量级通用人脸检测模型（模型文件大小仅1MB，320x240输入下计算量仅90MFlops）适用于边缘计算设备、移动端设备以及PC