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TensorFlow code and pre-trained models for BERT
内容讲解 + Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Causal Inference in Python
Uplift modeling and causal inference with machine learning algorithms
CTR prediction models in TensorFlow 2.x
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
Deep-learning based CTR models implemented with tensorflow2.0. / 使用tensorflow2.0实现的一些基于深度学习的CTR模型
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
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.
利用Encoder对二分类任务的序列数据进行概率预测
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
fast clustering of GPS trajectories
we want to create a repo to illustrate usage of transformers in chinese
记录leetcode题目
用Python做些有趣的项目
Models and examples built with TensorFlow
Recommendation Algorithm大规模推荐算法库,包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM,DSIN,SIGN,IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM,TiSAS,AutoFIS等,
TensorFlow-based implementation of "Pyramid Scene Parsing Network".
公开课代码
pytorch tutorial for beginners
Simple PyTorch Tutorials Zero to ALL!
推荐系统排序模型复现
该仓库主要记录 推荐系统 算法工程师相关的面试题
A Deep Learning Recommender System
A Python package for causal inference using Synthetic Controls
Computation using data flow graphs for scalable machine learning
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.