Name: Zhenyu (Allen) Zhang
Type: User
Company: The University of Texas at Austin
Bio: I am a Ph.D. student at @VITA-Group, University of Texas at Austin. My research interests include trustworthy, efficient, and quantum machine learning.
Twitter: KyriectionZhang
Location: Austin, TX, USA
Blog: zhenyu.gallery
Zhenyu (Allen) Zhang's Projects
[CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
[NeurIPS 2020]auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks
Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ
An awesome list of references for distributed quantum computing
An awesome list of references for quantum compiler
Compositional Explanations of Neurons https://arxiv.org/abs/2006.14032
CV backbones including GhostNet, TinyNet and TNT.
[CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang
Official DeiT repository
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
A fast MoE impl for PyTorch
Efficient implementations of state-of-the-art linear attention models in Pytorch and Triton
Official code for LLaGA: Large Language and Graph Assistant
Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment.Demo apps to showcase Llama2 for WhatsApp & Messenger
A framework for few-shot evaluation of autoregressive language models.
Code for visualizing the loss landscape of neural nets
Models and examples built with TensorFlow
A repository in preparation for open-sourcing lottery ticket hypothesis code.
This repository contains the source code for the LBR article "Towards Recommender Systems with Community Detection and Quantum Computing" soon to be published at RecSys 2022.
Code and documentation to train Stanford's Alpaca models, and generate the data.
VOLO: Vision Outlooker for Visual Recognition