weifanjiang

llama3

The official Meta Llama 3 GitHub site

vllm

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

fabric

Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications. Its modular and versatile design satisfies a broad range of industry use cases. It offers a unique approach to consensus that enables performance at scale while preserving privacy.

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

alpa

Training and serving large-scale neural networks with auto parallelization.

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

cluster-data

Borg cluster traces from Google

ALEX

A library for building an in-memory, Adaptive Learned indEX

DoppelGANger

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

decima-sim

Learning Scheduling Algorithms for Data Processing Clusters

www_personal

Personal Webpage

avicenna

a minimal academic page for Hugo

2021-CS109A

trex

NetShare

(SIGCOMM '22) Practical GAN-based Synthetic IP Header Trace Generation using NetShare

CEB

Cardinality Estimation Benchmark

Sequence-Scheduling

PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".

netml

Feature Extraction and Machine Learning from Network Traffic Traces

verified-global-properties

Learning Security Classifiers with Verified Global Robustness Properties (CCS'21) https://arxiv.org/pdf/2105.11363.pdf

csc458-bufferbloat

Computer Networks A2

archax

Experiments in multi-architecture parallelism for deep learning with JAX

mas-data-mapping

A data mapping component

RegCard

Learned Cardinalities Estimation with regularities

4181-final

6.887Lab2

6.887Lab4

growtrees

Cost-Aware Robust Tree Ensembles for Security Applications (Usenix Security'21) https://arxiv.org/pdf/1912.01149.pdf

Xatu

6.887Lab1

6.887Lab3