Pinned Repositories
Aaron
Aaron: Compile-time Kernel Adaptation for Multi-DNN Inference Acceleration on Edge GPU [SenSys'22 Best Poster]
AutoML-stool
awesome-foundation-model
Foundation Model for X and X for Foundation Model
awesome-quantum-applications
This is a list of awesome quantum computing applicaitons (e.g. quantum computing for ML acceleration) related works.
awesome-real-time-AI
This is a list of awesome edgeAI inference related papers.
CUDA-learning
This is a repo for my CUDA learning.
EdgeML
EdgeML: An AutoML Framework for Real-Time Deep Learning on the Edge [IoTDI'21]
Kyrie-Curiosities-Cabinet
Kyrie's Cabinet of Curiosities
Miriam-Multi-DNN-Inference
Miriam: Exploiting Elastic Kernels for Real-time Multi-DNN Inference on Edge GPU [SenSys'23]
Moses
Moses: Exploiting Cross-device Transferable Features for On-device Tensor Program Optimization [HotMobile'23]
Kyrie-Zhao's Repositories
Kyrie-Zhao/awesome-real-time-AI
This is a list of awesome edgeAI inference related papers.
Kyrie-Zhao/EdgeML
EdgeML: An AutoML Framework for Real-Time Deep Learning on the Edge [IoTDI'21]
Kyrie-Zhao/awesome-foundation-model
Foundation Model for X and X for Foundation Model
Kyrie-Zhao/Kyrie-Curiosities-Cabinet
Kyrie's Cabinet of Curiosities
Kyrie-Zhao/Aaron
Aaron: Compile-time Kernel Adaptation for Multi-DNN Inference Acceleration on Edge GPU [SenSys'22 Best Poster]
Kyrie-Zhao/awesome-quantum-applications
This is a list of awesome quantum computing applicaitons (e.g. quantum computing for ML acceleration) related works.
Kyrie-Zhao/Kyrie-Zhao.github.io
Kyrie-Zhao/Moses
Moses: Exploiting Cross-device Transferable Features for On-device Tensor Program Optimization [HotMobile'23]
Kyrie-Zhao/Xpiler
Enabling Extreme Efficient NN Compilation on Edge Devices
Kyrie-Zhao/IoTensor-Compiler
Scenario compiler based on MLIR for CPS system.
Kyrie-Zhao/Miriam-Multi-DNN-Inference
Miriam: Exploiting Elastic Kernels for Real-time Multi-DNN Inference on Edge GPU [SenSys'23]
Kyrie-Zhao/brainmagick-learn
Training and evaluation pipeline for MEG and EEG brain signal encoding and decoding using deep learning. Code for our paper "Decoding speech perception from non-invasive brain recordings" published in Nature Machine Intelligence, 2023.
Kyrie-Zhao/buddy-mlir-learn
An MLIR-Based Ideas Landing Project
Kyrie-Zhao/CUDA-Programming-Zhihe
English version
Kyrie-Zhao/fl-sx-Keep-Learning
The record of what I‘ve been through.
Kyrie-Zhao/flash-attention-transformerFusion
Fast and memory-efficient exact attention
Kyrie-Zhao/FlexGen
Running large language models like OPT-175B/GPT-3 on a single GPU. Focusing on high-throughput large-batch generation.
Kyrie-Zhao/FreeSel-tensor
[NeurIPS 2023] Towards Free Data Selection with General-Purpose Models
Kyrie-Zhao/Friend
AI wearable necklace
Kyrie-Zhao/hidet-learning
Hidet: A compilation-based DNN inference framework
Kyrie-Zhao/huhanwj
Kyrie-Zhao/ImageBind-try
ImageBind One Embedding Space to Bind Them All
Kyrie-Zhao/iree-learning
A retargetable MLIR-based machine learning compiler and runtime toolkit.
Kyrie-Zhao/iree-samples-usecase
Kyrie-Zhao/Kyrie-Zhao
Kyrie-Zhao/mlc-llm-blablabla
Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
Kyrie-Zhao/ptc-tutorial-cornell
PyTorch compilation tutorial covering TorchScript, torch.fx, and Slapo
Kyrie-Zhao/torch-mlir-mark
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
Kyrie-Zhao/web-stable-diffusion-tql
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
Kyrie-Zhao/YCSB-benchmarkTemplete
Yahoo! Cloud Serving Benchmark