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/CUDA-learning
This is a repo for my CUDA learning.
Kyrie-Zhao/abhisheknaiidu
👀
Kyrie-Zhao/AITemplate-cuda
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
Kyrie-Zhao/alphatensor-learning
Kyrie-Zhao/Awesome
:computer: 🎉 An awesome & curated list of best applications and tools for Windows.
Kyrie-Zhao/awesome-efficient-NeRF
Kyrie-Zhao/Awesome-GPU-learning
Awesome resources for GPUs
Kyrie-Zhao/awesome-image-captioning
A curated list of image captioning and related area resources. :-)
Kyrie-Zhao/awesome-mlops
A curated list of references for MLOps
Kyrie-Zhao/awesome-podcasts-cabinet
Collection of awesome podcasts
Kyrie-Zhao/comFiles
Kyrie-Zhao/cppbestpractices-learning
Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.
Kyrie-Zhao/CuAssembler-learning
An unofficial cuda assembler, for all generations of SASS, hopefully :)
Kyrie-Zhao/cuQuantum-learning
Home for cuQuantum Python & NVIDIA cuQuantum SDK C++ samples
Kyrie-Zhao/datasets-1
A collection of datasets of ML problem solving
Kyrie-Zhao/DietCode
DietCode Code Release
Kyrie-Zhao/ECCV2022
Kyrie-Zhao/FinRL
FinRL: Financial Reinforcement Learning Framework. Please star. 🔥
Kyrie-Zhao/FinRL-Meta
FinRL-Meta: A Universe for Data-Driven Financial Reinforcement Learning. 🔥
Kyrie-Zhao/iampavangandhi
Hey 👋, Glad to see you here! Check out this repository to learn more about me 🤓. You can also use it to make your awesome GitHub README ✨ (Don't Just Fork, Star Too 😅)
Kyrie-Zhao/inference
Reference implementations of MLPerf™ inference benchmarks
Kyrie-Zhao/IoTensorJuly
Kyrie-Zhao/oneflow
OneFlow is a performance-centered and open-source deep learning framework.
Kyrie-Zhao/PipeSwitch
PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications
Kyrie-Zhao/PlotNeuralNet-latexPlotNN
Latex code for making neural networks diagrams
Kyrie-Zhao/raf-cudastream-learning
Kyrie-Zhao/sage
For calculating global feature importance using Shapley values.
Kyrie-Zhao/timelines-chart-kernelPara
Timelines Chart
Kyrie-Zhao/TVM-Sandbox-learning
Sandbox for TVM and playing around!
Kyrie-Zhao/vanshkapoor