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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.

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

banditlib

Library of contextual bandits algorithms

colinucb

colinucb_revised

coursework

summer school coursework

crewai

evals

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

fairlearn

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

flaml

A fast and lightweight AutoML library.

guidance

A guidance language for controlling large language models.

imbandits

imfb-kdd2019

Code for the experiments of Matrix Factorization Bandit

jarvis

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

langchain

⚡ Building applications with LLMs through composability ⚡

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.

mljar-supervised

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

nonconformist

Python implementation of the conformal prediction framework.

nonstationarybanditlib

pdr

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

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.

rci-agent

A codebase for "Language Models can Solve Computer Tasks"

react

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

taskweaver

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

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.

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