Osier-Yi's starred repositories
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
agentscope
Start building LLM-empowered multi-agent applications in an easier way.
OpenAgents
[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild
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
long-term-causal-effects
Code for paper "Long-term causal effects via behavioral game theory"
interventions-disparate-impact-responders
Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds
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.
causal-embeddings
Code for "Using Embeddings to Correct for Unobserved Confounding"
causal-mediation-analysis-for-ab-tests
The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis