EthenZhang's Stars
timeseriesAI/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
rguo12/awesome-causality-algorithms
An index of algorithms for learning causality with data
DallasBuyer/awesome-dynamic-pricing
😎 awesome dynamic pricing 💵
salesforce/Merlion
Merlion: A Machine Learning Framework for Time Series Intelligence
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
ourownstory/neural_prophet
NeuralProphet: A simple forecasting package
cchallu/nbeatsx
leeoniya/uPlot
📈 A small, fast chart for time series, lines, areas, ohlc & bars
allen-chiang/Time-Series-Transformer
A data preprocessing package for time series data. Design for machine learning and deep learning.
facebookresearch/Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
shenweichen/DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
lucasvinhtran/group-recommender-systems
This repository contains recent research papers, datasets, and source codes (if any) for Group Recommendation
milvus-io/milvus
A cloud-native vector database, storage for next generation AI applications
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
LianHaiMiao/Attentive-Group-Recommendation
Attentive Group Recommendation
awslabs/gluonts
Probabilistic time series modeling in Python
Mcompetitions/M5-methods
Data, Benchmarks, and methods submitted to the M5 forecasting competition
yaohungt/TransformerDissection
[EMNLP'19] Summary for Transformer Understanding
wayfair/pylift
Uplift modeling package.
zhouhaoyi/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Mcompetitions/M4-methods
Data, Benchmarks, and methods submitted to the M4 forecasting competition
microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
shidenggui/easytrader
提供同花顺客户端/国金/华泰客户端/雪球的基金、股票自动程序化交易以及自动打新,支持跟踪 joinquant /ricequant 模拟交易 和 实盘雪球组合, 量化交易组件
freqtrade/freqtrade
Free, open source crypto trading bot
apache/superset
Apache Superset is a Data Visualization and Data Exploration Platform
halfrost/LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
LongxingTan/Time-series-prediction
tfts: Time Series Deep Learning Models in TensorFlow
locuslab/TCN
Sequence modeling benchmarks and temporal convolutional networks
Alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
sql-machine-learning/elasticdl
Kubernetes-native Deep Learning Framework