qingyun-wu

autogen

A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap

FLAML

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

autogen-eval

automlbenchmark

OpenML AutoML Benchmarking Framework

babyagi-asi

BabyAGI: an Autonomous and Self-Improving agent, or BASI

CoLinUCB

CoLinUCB_Revised

NonstationaryBanditLib

vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

qingyun-wu/CoLinUCB_Revised

qingyun-wu/autogen-eval

qingyun-wu/NonstationaryBanditLib

qingyun-wu/CoLinUCB

qingyun-wu/vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

qingyun-wu/automlbenchmark

OpenML AutoML Benchmarking Framework

qingyun-wu/Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

qingyun-wu/babyagi-asi

BabyAGI: an Autonomous and Self-Improving agent, or BASI

qingyun-wu/BanditLib

Library of contextual bandits algorithms

qingyun-wu/FLAML

A fast and lightweight AutoML library.

qingyun-wu/IMBandits

qingyun-wu/JARVIS

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

qingyun-wu/langchain

⚡ Building applications with LLMs through composability ⚡

qingyun-wu/LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

qingyun-wu/xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

qingyun-wu/AIF360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

qingyun-wu/coursework

summer school coursework

qingyun-wu/crewAI

qingyun-wu/evals

Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.

qingyun-wu/fairlearn

A Python package to assess and improve fairness of machine learning models.

qingyun-wu/guidance

A guidance language for controlling large language models.

qingyun-wu/IMFB-KDD2019

Code for the experiments of Matrix Factorization Bandit

qingyun-wu/mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

qingyun-wu/nonconformist

Python implementation of the conformal prediction framework.

qingyun-wu/pdr

A repo for a Program and Data Representation university-level course

qingyun-wu/ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

qingyun-wu/rci-agent

A codebase for "Language Models can Solve Computer Tasks"

qingyun-wu/ReAct

[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models

qingyun-wu/TaskWeaver

A code-first agent framework for seamlessly planning and executing data analytics tasks.