Yequan Zhao's repositories
awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
awesome-tensorial-neural-networks
A thoroughly investigated survey for tensorial neural networks.
BackRazor_Neurips22
[Neurips 2022] “ Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropogation”, Ziyu Jiang*, Xuxi Chen*, Xueqin Huang, Xianzhi Du, Denny Zhou, Zhangyang Wang
brain-segmentation-pytorch
U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI
EAOT
The open source implementation of "Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers"
Early-Cropression-via-Gradient-Flow-Preservation
Code for Winning the Lottery Ahead of Time: Efficient Early Network Pruning (ICML 2022)
ece_594_final
Multi-voxel pattern analyses methods based on ML & DL to decode the category of visual stimuli viewed by a human subject based on their recorded brain activity in fMRI form
fwdgrad
Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch
generalized-smoothing
Companion code for the ICML 2022 paper "Generalizing Gaussian Smoothing for Random Search"
llama4micro
A "large" language model running on a microcontroller
local-bo-mpd
Bayesian optimization via maximizing probability of descent
MeZO
[NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333
PETL-ViT
[ICCV 2023] Binary Adapters, [AAAI 2023] FacT, [Tech report] Convpass
PINN-without-Stacked-BP
About The official implementation of Learning Physics-Informed Neural Networks without Stacked Back-propagation (AISTATS 2023).
poster_template
some academic posters as references. May we have in-person poster session soon!
proxylessnas
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
pytorch-onn
A PyTorch Library for Photonic Integrated Circuit Simulation and Photonic AI Computing
SPINN
Source code for Separable PINN
SSF
[NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".
tiny-training
On-Device Training Under 256KB Memory [NeurIPS'22]
Torch-Pruning
[CVPR-2023] Towards Any Structural Pruning; LLaMA / YOLOv8 / CNNs / Transformers
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
ZORO
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling