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causal_discovery_toolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

causal_inference_python_code

内容讲解 + Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

causal_reading_group

causality4ml

把因果思维融入机器学习中

causalml

Uplift modeling and causal inference with machine learning algorithms

causalrecommendation

Causal inference for recommendation

cbm_encoding

CBM Encoding

cbr-lime

cbvr

Feature Re-Learning with Data Augmentation for Content-based Video Recommendation

cbvrp-acmmm-2018

cbvrp-acmmm-2018

cc-cc

ccks2019-ckbqa

A system for CCKS2019-CKBQA, whose single system reach 0.69 and ensemble system reach 0.73

ccks2019-ckbqa-4th-codes

中文知识库问答代码，CCKS2019 CKBQA评测第四名解决方案

ccks2019_el

CCKS 2019 中文短文本实体链指比赛技术创新奖解决方案

ccks2019_evententityextraction_rank5

SEBERTNets：一种面向金融领域的事件主体抽取方法

ccks_baidu_entity_link

ccks baidu entity link 实体链接 第一名

cdbtune

cdmf

Hicss best paper nominated: A Deep Learning Model based on Convolutional and Dense-layer Matrix Factorization for Context-Aware Recommendation

cdssm

Convolutional Deep Semantic Similarity Model

cec-automatic-annotation

基于CEC语料库挖掘要素识别规则，对新闻报道类生语料进行自动标注

cedr

Code for CEDR: Contextualized Embeddings for Document Ranking, accepted at SIGIR 2019.

celer

Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.

cepsum

cfdebug

Code for Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering (NeurIPS 2020)

cfl

cfor

Scala cfor macro, like a java for-loop

cgd

Combination of Multiple Global Descriptors for Image Retrieval

channel-attribution-model

An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of events leads to conversion (purchase). The trained model can also assign credits to channels. The model also incorporates user-context information, such as user demographics and behavior, as control variables to reduce the estimation biases of media effects.

chartify

Python library that makes it easy for data scientists to create charts.

chat-langchain