chenweize1998

AgentVerse-tmp

🤖 AgentVerse 🪐 provides a flexible framework that simplifies the process of building custom multi-agent environments for large language models (LLMs).

Android-News-App

Homework for JAVA course

chenweize1998.github.io

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

fully-hyperbolic-nn

Code for paper Fully Hyperbolic Neural Networks

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

AgentVerse

🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation

IoA

An open-source framework for collaborative AI agents, enabling diverse, distributed agents to team up and tackle complex tasks through internet-like connectivity.

Optima

Code for paper "Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System"

relation-similarity

codes accompanying ACL 2019 paper Quantifying the Similarity between Relations with Fact Distributions

chenweize1998/fully-hyperbolic-nn

Code for paper Fully Hyperbolic Neural Networks

chenweize1998/Android-News-App

Homework for JAVA course

chenweize1998/AgentVerse-tmp

🤖 AgentVerse 🪐 provides a flexible framework that simplifies the process of building custom multi-agent environments for large language models (LLMs).

chenweize1998/datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

chenweize1998/transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

chenweize1998/chenweize1998.github.io

chenweize1998/DownGit

Create GitHub Resource Download Link (git-github-direct-zip-directory-folder-file)

chenweize1998/GitHubGraduation-2021

Join the GitHub Graduation Yearbook and "walk the stage" on June 5.

chenweize1998/IoA

chenweize1998/Megatron-DeepSpeed

Ongoing research training transformer language models at scale, including: BERT & GPT-2

chenweize1998/neural-structured-learning

Training neural models with structured signals.

chenweize1998/REKCARC-TSC-UHT

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

chenweize1998/THU-CST-Cracker

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

chenweize1998/optima-project-page

chenweize1998/trl

Train transformer language models with reinforcement learning.