Xiangxiangzhu

EVCS-rollling-opt

general-tls

general traffic light agent

LLaMA-Efficient-Tuning

Easy-to-use LLM fine-tuning framework (LLaMA-2, BLOOM, Falcon, Baichuan, Qwen, ChatGLM2)

LLM-EasyDeploy

We decide to construct a lightweight, scalable platform from scratch for deploying LLM and MLLM large models.

tzm-vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

UC-using-pulp

Modelling Unit Commitment Problem as a MIP problem, using pulp package and cplex(or gurobi) to solve it.

Xiangxiangzhu.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

charginghub-env

Code for the charginghub environment used in our paper "__"

all-in-one-llm

Deployment a light and full OpenAI API for production

ZhongjiaoGPT

AI power road design (under dev)

Xiangxiangzhu/UC-using-pulp

Modelling Unit Commitment Problem as a MIP problem, using pulp package and cplex(or gurobi) to solve it.

Xiangxiangzhu/tzm-vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

Xiangxiangzhu/EVCS-rollling-opt

Xiangxiangzhu/general-tls

general traffic light agent

Xiangxiangzhu/LLaMA-Efficient-Tuning

Easy-to-use LLM fine-tuning framework (LLaMA-2, BLOOM, Falcon, Baichuan, Qwen, ChatGLM2)

Xiangxiangzhu/LLM-EasyDeploy

We decide to construct a lightweight, scalable platform from scratch for deploying LLM and MLLM large models.

Xiangxiangzhu/LLM-inference

Xiangxiangzhu/mldm_temp

Xiangxiangzhu/PARL

A high-performance distributed training framework for Reinforcement Learning

Xiangxiangzhu/safe-rlhf

Safe-RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

Xiangxiangzhu/Xiangxiangzhu.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Xiangxiangzhu/proc-tensorflow-tls

distributed learning and simulation using tensorflow for general traffic light agent

Xiangxiangzhu/rqwrwq

Xiangxiangzhu/safe-explorer

Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]

Xiangxiangzhu/safety-starter-agents

Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

Xiangxiangzhu/sumo_net

Xiangxiangzhu/sumolights

SUMO adaptive traffic signal control - DQN, DDPG, Webster's, Max-pressure, Self-Organizing Traffic Lights

Xiangxiangzhu/test_lag_theory

Xiangxiangzhu/test_tt_theory

Xiangxiangzhu/TrafficGPT