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Yiming Li's Projects

bestjavaer icon bestjavaer

这是一个成为更好的Java程序员的系列教程

charm icon charm

CHARM: Composing Heterogeneous Accelerators for Matrix Multiply on Versal ACAP Architecture (Full Paper accepted to FPGA2023!)

cmake-examples-chinese icon cmake-examples-chinese

快速入门CMake,通过例程学习语法。在线阅读地址:https://sfumecjf.github.io/cmake-examples-Chinese/

dragon-book-practice-answer icon dragon-book-practice-answer

编译原理(紫龙书)中文第2版习题答案。Compilers Principles, Techniques, & Toos (purple dragon book) second edition practice answer.

fastbn icon fastbn

Fast and parallel solutions for Bayesian Network structure learning and inference (IPDPS'22, PPoPP'23)

ggml icon ggml

Tensor library for machine learning

heterocl icon heterocl

HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Heterogeneous Computing

jquery.earth-3d icon jquery.earth-3d

JQuery plugin that allows you to draw a beautiful 3d spinning earth on canvas. Take a look at the demo:

keras-flask-deploy-webapp icon keras-flask-deploy-webapp

:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.

light-hls icon light-hls

Fast, Accurate and Convenient Light-Weight HLS Framework for Academic Design Space Exploration and Evaluation. (LLVM-11)

llm icon llm

An ecosystem of Rust libraries for working with large language models (For Testing)

llvm-project icon llvm-project

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.

research icon research

novel deep learning research works with PaddlePaddle

scalehls icon scalehls

A scalable High-Level Synthesis framework on MLIR

skynetloginui icon skynetloginui

Cool Concept Login Page from the Sci Fi movie series, Terminator

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

tracking_wo_bnw icon tracking_wo_bnw

Implementation of "Tracking without bells and whistles” and the multi-object tracking "Tracktor"

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