Pinned Repositories
2019-CCF-BDCI-Car-Sales-Forecast
top3-solution
analytics-zoo
Distributed Tensorflow, Keras, PyTorch and Ray on Apache Spark
BDCI-2018-Supply-Chain-Demand-Forecast
初赛Rank1 复赛Rank1 2018 CCF 大数据与计算智能大赛 供应链需求预测 Miracccccccle
Chinese_models_for_SpaCy
SpaCy 中文模型 | Models for SpaCy that support Chinese
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
demand_forecast
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
free-programming-books-zh_CN
:books: 免费的计算机编程类中文书籍，欢迎投稿
load_forecasting
Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models
taogeanton2's Repositories
taogeanton2/AutoX
AutoX is an efficient automl tool, which is mainly aimed at data mining competitions with tabular data.
taogeanton2/awesome-knowledge-graph
整理知识图谱相关学习资料
taogeanton2/awesome_time_series_in_python
This curated list contains python packages for time series analysis
taogeanton2/best-of-ml-python
各类机器学习库排名清单
taogeanton2/darts
darts是一个 Python 库，用于轻松操作和预测时间序列
taogeanton2/deeprenewalprocess
GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]
taogeanton2/FEDOT
Automated modeling and machine learning framework FEDOT
taogeanton2/finetuner
Finetuning any DNN for better embedding on neural search tasks
taogeanton2/Forecasting_Intermittent_Time_Series
How To Apply Time Embeddings To A Classification and Quantity Forecast In Tensorflow Embedding time along with categorical and continuous features offsets the errors caused by intermittent time series. This event often occurs in manufacturing or retail businesses that distribute through multiple overlapping distributors or stores and regions with a large parts list. The solution in tensorflow is demonstrated for an international specialty fastener manufacturer with over 2000 part items and 200 distributors in 5 regions. The manufacturer needed pricing support at the quote level by part, distributor and region to project whether or not a quote would become an order and the expected quantity to be sold during a successful order so that it could align with their current demand planning methods. The first session half discusses applications and solutions while the session second half explains the feature development and the non-linear tensorflow model in depth. The annotated open source code in a jupyter notebook is provided for reference.
taogeanton2/GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜，各语言分离设置「软件 / 资料」榜单，精准定位中文好项目。各取所需，互不干扰，高效学习。
taogeanton2/greykite
A flexible, intuitive and fast forecasting library
taogeanton2/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
taogeanton2/hummingbird
Hummingbird compiles trained ML models into tensor computation for faster inference.
taogeanton2/Jiagu
Jiagu深度学习自然语言处理工具 知识图谱关系抽取 中文分词 词性标注 命名实体识别 情感分析 新词发现 关键词 文本摘要 文本聚类
taogeanton2/M5-Forecasting-Accuracy
taogeanton2/M5_Accuracy_3rd
3rd ranked model in M5 accuracy competition
taogeanton2/m5_compete
Sliver Solution (Top 2%) for Kaggle M5 Forecasting competition / Kaggle M5沃尔玛销量时间序列预测竞赛 银牌方案(Top 2%)
taogeanton2/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
taogeanton2/mljar-supervised
Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning :rocket:
taogeanton2/NeuralNLP-NeuralClassifier
An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
taogeanton2/Python24
网上搜集的自学python语言的资料集合,包括整套代码和讲义集合，这是至今为止所开放网上能够查找到的最新视频教程，网上找不到其他最新的python整套视频了,. 具体的无加密的mp4视频教程和讲义集合可以在更新的Readme文件中找到，下载直接打开就能播放，项目从零基础的Python教程到深度学习，总共30章节，其中包含Python基础中的飞机大战项目，WSGI项目，Flask新经资讯项目， Django的电商项目(本应该的美多商城项目因为使用的是Vue技术，所以替换为Django天天生鲜项目)等等，希望能够帮助大家。资源搜集劳神费力，能帮到你的话是我的福分,望大家多多支持,喜欢本仓库的话，记得Star哦。
taogeanton2/pytorch-forecasting
Time series forecasting with PyTorch
taogeanton2/pytsal
An easy to use low-code open-source python framework for Time Series analysis, visualization, forecasting along with AutoTS
taogeanton2/river
🌊 Online machine learning in Python
taogeanton2/RNaivemethod
Feature-based Intermittent DEmand forecasting
taogeanton2/seglearn
Seglearn 是一个用于机器学习时间序列或序列的 python 包。它为分割、特征提取、特征处理和最终估计器提供了一个集成的管道。
taogeanton2/shadowsocks
shadowsocks.wiki
taogeanton2/transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
taogeanton2/TransmogrifAI
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
taogeanton2/tsfel
时间序列特征提取库