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A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
Budget Constrained Bidding for Display Advertising using Model-free Reinforcement Learning
Implementation of Learning Gradient Fields for Molecular Conformation Generation (ICML 2021).
Uplift modeling and causal inference with machine learning algorithms
ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型
OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.
这是论文Unsupervised Domain Adaptation by Backpropagation的复现tf2代码,并完成了MNIST与MNIST-M数据集之间的迁移训练
DANN in TensorFlow 2.0
Deep domain adaptation networks (DDAN) library for Python with TensorFlow.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.
Implementation for the paper "DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks", which has been accepted by KDD'2019.
Implementation of a DQN-inspired algorithm in an RTB setting
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.
Retrieval and Retrieval-augmented LLMs
A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
https://opencatalystproject.org/
Collection of implementations in Offline Policy Evaluation
A benchmarking framework supporting the experiments in KDD'14 paper "Optimal Real-Time Bidding for Display Advertising"
Research project
Learning to Rank in TensorFlow
A feedback controller for stabilizing RTB performance to a target value.
Implementation of SayCan, organized as a python project.
TemStaPro - a program for protein thermostability prediction using sequence representations from a protein language model.
Everything about Transfer Learning and Domain Adaptation--迁移学习
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.