Osier-Yi

awesome-llm-role-playing-with-persona

Awesome-llm-role-playing-with-persona: a curated list of resources for large language models for role-playing with assigned personas

Cradle

The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation, in a standardized general environment with minimal requirements.

agentscope

Start building LLM-empowered multi-agent applications in an easier way.

FineGrainedRLHF

OpenAgents

[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild

ChatDev

Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

LLMDataHub

A quick guide (especially) for trending instruction finetuning datasets

awesome-RLHF

A curated list of reinforcement learning with human feedback resources (continually updated)

Chat-Haruhi-Suzumiya

Chat凉宫春日, An open sourced Role-Playing chatbot Cheng Li, Ziang Leng, and others.

Baichuan-7B

A large-scale 7B pretraining language model developed by BaiChuan-Inc.

Awesome-LLM-Uncertainty-Reliability-Robustness

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

FederatedScope

An easy-to-use federated learning platform

GraphScope

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统

superpixel-benchmark

An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.

GradAttack

GradAttack is a Python library for easy evaluation of privacy risks in public gradients in Federated Learning, as well as corresponding mitigation strategies.

FederatedScope

An easy-to-use federated learning platform

fair-inference-on-outcomes

long-term-causal-effects

Code for paper "Long-term causal effects via behavioral game theory"

ncov

Nextstrain build for novel coronavirus SARS-CoV-2

GANITE

Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018

interventions-disparate-impact-responders

Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds

DRL

Deconfounding Reinforcement Learning in Observational Settings

classifying-responders

causalML

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

awesome-causality-data

A data index for learning causality.

network-deconfounder-wsdm20

Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.

Machine-Learning-Session

causal-embeddings

Code for "Using Embeddings to Correct for Unobserved Confounding"

leetcode

Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.

causal-mediation-analysis-for-ab-tests

The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis