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basefrm

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

budget_constrained_bidding

Budget Constrained Bidding for Display Advertising using Model-free Reinforcement Learning

catagf

Implementation of Learning Gradient Fields for Molecular Conformation Generation (ICML 2021).

causalfrm

Uplift modeling and causal inference with machine learning algorithms

chatglm3

ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型

cobs

OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.

dann-mnist-tf2

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_tf2.0

DANN in TensorFlow 2.0

ddan

Deep domain adaptation networks (DDAN) library for Python with TensorFlow.

deepfrm

Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.

deepgbm

Implementation for the paper "DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks", which has been accepted by KDD'2019.

dqn-rtb

Implementation of a DQN-inspired algorithm in an RTB setting

econfrm

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.

flagembedding

Retrieval and Retrieval-augmented LLMs

learngit

llama-factory

A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

ocp

https://opencatalystproject.org/

offline_policy_evaluation

Collection of implementations in Offline Policy Evaluation

optimal-rtb

A benchmarking framework supporting the experiments in KDD'14 paper "Optimal Real-Time Bidding for Display Advertising"

optimizing-acceptance-threshold-in-credit-scoring-using-reinforcement-learning

Research project

ranking

Learning to Rank in TensorFlow

rockchat

rtbcontrol

A feedback controller for stabilizing RTB performance to a target value.

saycan

Implementation of SayCan, organized as a python project.

temstapro

TemStaPro - a program for protein thermostability prediction using sequence representations from a protein language model.

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习