Czkonverse
AI Engineer worked in Recommendation System and Time series prediction.
SF TechnologyShenzhen, China
Czkonverse's Stars
mit-biomimetics/Cheetah-Software
RUCAIBox/RecBole
A unified, comprehensive and efficient recommendation library
zhouhaoyi/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
facebook/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
NVIDIA-Merlin/competitions
Solutions to Recommender Systems competitions
MaurizioFD/recsys-challenge-2020-twitter
The complete code and notebooks used for the ACM Recommender Systems Challenge 2020 by our team BanaNeverAlone at Politecnico di Milano
logicai-io/recsys2019
gitpod-io/openvscode-server
Run upstream VS Code on a remote machine with access through a modern web browser from any device, anywhere.
jalammar/jalammar.github.io
Build a Jekyll blog in minutes, without touching the command line.
tensorflow/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
iamadamdev/bypass-paywalls-chrome
Bypass Paywalls web browser extension for Chrome and Firefox.
tensorflow/recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
microsoft/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
microsoft/nlp-recipes
Natural Language Processing Best Practices & Examples
recommenders-team/recommenders
Best Practices on Recommendation Systems
linkedin/spark-tfrecord
Read and write Tensorflow TFRecord data from Apache Spark.
tensorflow/ecosystem
Integration of TensorFlow with other open-source frameworks
pyecharts/pyecharts
🎨 Python Echarts Plotting Library
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
lyst/lightfm
A Python implementation of LightFM, a hybrid recommendation algorithm.
NicolasHug/Surprise
A Python scikit for building and analyzing recommender systems
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
openscoring/openscoring
REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
yeasy/docker_practice
Learn and understand Docker&Container technologies, with real DevOps practice!
programthink/books
【编程随想】收藏的电子书清单(多个学科,含下载链接)
hongleizhang/RSPapers
A Curated List of Must-read Papers on Recommender System.
rapidsai/deeplearning
interestSoul-wbs/pay_predict
ZiyaoGeng/RecLearn
Recommender Learning with Tensorflow2.x