tangyong's Stars
hankcs/HanLP
Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
fengdu78/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
jina-ai/jina
☁️ Build multimodal AI applications with cloud-native stack
pinpoint-apm/pinpoint
APM, (Application Performance Management) tool for large-scale distributed systems.
datawhalechina/leedl-tutorial
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
VictoriaMetrics/VictoriaMetrics
VictoriaMetrics: fast, cost-effective monitoring solution and time series database
OpenMined/PySyft
Perform data science on data that remains in someone else's server
Atcold/NYU-DLSP20
NYU Deep Learning Spring 2020
SmirkCao/Lihang
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
awslabs/gluonts
Probabilistic time series modeling in Python
dsgiitr/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
borisbanushev/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
microsoft/tensorwatch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Kivy-CN/Stanford-CS-229
A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译
Alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
doublechaintech/scm-biz-suite
供应链中台系统基础版,集成零售管理, 电子商务, 供应链管理, 财务管理, 车队管理, 仓库管理, 人员管理, 产品管理, 订单管理, 会员管理, 连锁店管理, 加盟管理, 前端React/Ant Design, 后端Java Spring+自有开源框架,全面支持MySQL, PostgreSQL, 全面支持国产数据库南大通用GBase 8s,通过REST接口调用,前后端完全分离。
wzhe06/SparrowRecSys
A Deep Learning Recommender System
loujie0822/DeepIE
DeepIE: Deep Learning for Information Extraction
pinterest/querybook
Querybook is a Big Data Querying UI, combining collocated table metadata and a simple notebook interface.
servicemesher/istio-handbook
Istio服务网格进阶实战
aleios-cloud/sls-dev-tools
Dev Tools for the Serverless World - Issues, PRs and ⭐️welcome!
stanford-futuredata/macrobase
MacroBase: A Search Engine for Fast Data
YuliaRubanova/latent_ode
Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
M-Nauta/TCDF
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
logangraham/arXausality
A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
deepkit/deepkit-ml
The collaborative real-time open-source machine learning devtool and training suite: Experiment execution, tracking, and debugging. With server and project management tools.
SDM-TIB/SDM-RDFizer
An Efficient RML-Compliant Engine for Knowledge Graph Construction
StackStorm/orquesta
Orquesta is a graph based workflow engine for StackStorm. Questions? https://github.com/StackStorm/st2/discussions
algobeans/Time-Series-Forecasting
Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM
cvdigitalai/katecheo
Modular, multi-topic question answering on top of Kubernetes