Michaelvll/RISCV_CPU
A FPGA supported RISC-V CPU with 5-stage pipeline implemented in Verilog HDL
Ph.D. student @ UC Berkeley Sky Computing Lab; Previously, RA @ MIT HAN Lab; Undergrad @ SJTU ACM Honors Class
Repositories
Michaelvll/aging-gene-prediction
Prediction for genes across ages
Michaelvll/DeepCCA
An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.
Michaelvll/plan-with-agents
Claude Code plugin: Multi-agent planning system for high-quality implementation designs
Michaelvll/llm-ie-benchmarks
A collection of reproducible inference engine benchmarks
Michaelvll/tangle
Tangle is a web app that allows the users to build and run Machine Learning pipelines without having to set up development environment.
Michaelvll/myQShor
A implementation of Shor's algorithm written in Python calling Q# for the quantum part
Michaelvll/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
Michaelvll/verl
Verl: Volcano Engine Reinforcement Learning for LLMs
Michaelvll/lm-sys.github.io
The source of LMSYS website and blogs
Michaelvll/sglang-jax
JAX backend for SGL
Michaelvll/michaelvll.github.io
Michaelvll/admin-policy-examples
Examples for SkyPilot Admin Policy
Michaelvll/sglang
SGLang is yet another fast serving framework for large language models and vision language models.
Michaelvll/skypilot
SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.
Michaelvll/Qwen1.5
Qwen1.5 is the improved version of Qwen, the large language model series developed by Qwen team, Alibaba Cloud.
Michaelvll/skycamp23-tutorial
SkyCamp23 Tutorial for SkyPilot and FastChat
Michaelvll/skypilot-ci-cd-runner
GPU CI/CD runner that works — using SkyPilot
Michaelvll/gliderport
Launch jobs on sky
Michaelvll/skypilot-new-cloud
Example for adding a new cloud in SkyPilot
Michaelvll/runpod-python
🐍 | Python library for RunPod API and serverless worker SDK.
Michaelvll/MWCompiler
A Compiler for Mx language @ ACM Class, SJTU 2016
Michaelvll/graphtrans
Representing Long-Range Context for Graph Neural Networks with Global Attention
Michaelvll/ray
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Michaelvll/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
Michaelvll/acmdb-ZhanghaoWu
A simple database implementation (SimpleDB) in java.
Michaelvll/instruct-eval
This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
Michaelvll/FlexGen
Throughput-oriented systems for large language models on commodity GPUs.
Michaelvll/Models
Some useful models