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Name: Kris
Type: User
Location: Boston
Name: Kris
Type: User
Location: Boston
The fundamental package for AIops with python.
Anomaly Detection with R
AIOps学习资料汇总,欢迎一起补全这个仓库,欢迎star
Breakout Detection via Robust E-Statistics
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Python Causal Impact port of Google's Algorithm.
CausalLift: Causality-based Uplift Modeling in real-world business
100+ Chinese Word Vectors 上百种预训练中文词向量
SpaCy 中文模型 | Models for SpaCy that support Chinese
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
C++ implement of Tomas Mikolov's word/document embedding
doc2vec , word2vec, implemented by golang. word embedding representation
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
A library for efficient similarity search and clustering of dense vectors.
Linear and non-linear spectral forecasting algorithms
Chinese version of GPT2 training code, using BERT tokenizer.
中文分词 词性标注 命名实体识别 依存句法分析 语义依存分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
hnsw implemented by python
Header-only C++/python library for fast approximate nearest neighbors
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
甲言,专注于古代汉语(古汉语/古文/文言文/文言)处理的NLP工具包,支持文言词库构建、分词、词性标注、断句和标点。Jiayan, the NLP toolkit designed for Classical Chinese, supports lexicon construction, tokenizing, POS tagging, sentence segmentation and punctuation.
Kashgari is a Production-ready NLP Transfer learning framework for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
This is an implementation of the LexVec word embedding model (similar to word2vec and GloVe) that achieves state of the art results in multiple NLP tasks
Repository containing notebooks of my posts on Medium
NLP 相关的一些文档、论文及代码, 包括主题模型(Topic Model)、词向量(Word Embedding)、命名实体识别(Named Entity Recognition)、文本分类(Text Classificatin)、文本生成(Text Generation)、文本相似性(Text Similarity)计算、机器翻译(Machine Translation)等,涉及到各种与nlp相关的算法,基于tensorflow 2.0。
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
Navigating Spreading-out Graph For Approximate Nearest Neighbor Search
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.