Jiaqi Gu's Projects
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
Automatic differentiable design of photonic tensor cores
Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Optimization for rotate and smooth function
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped
Coding assignment 1 for EE382M-Spring 2022 VLSI Physical Design Automation
A memory-efficient implementation of DenseNets
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
optical addernet and dot product engine
HRViT ("Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation"), CVPR 2022.
CUDA independent set matching
My personal website
Github Page
Machine Learning-Enabled Compact Photonic Tensor Core based on Programmable Multi-Operand Multimode Interference
This repository is to prepare for Machine Learning interviews.
PyTorch Implementation of MADDPG (Lowe et. al. 2017)
Implementation of Memory-Efficient Neural Networks with Multi-Level Generation, ICCV 2021
Simple MIDAS Examples
MIDAS Public Release
MIDAS RocketChip Template
This is an official implementation for "Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation".