zijkx's Stars
dvanoni/notero
A Zotero plugin for syncing items and notes into Notion
borglab/gtsam
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
robot-acceleration/RBDReference
A Python reference implementation of rigid body dynamics algorithms
guanyingc/python_plot_utils
A simple code for plotting figure, colorbar, and cropping with python
guanyingc/latex_paper_writing_tips
Tips for Writing a Research Paper using LaTeX
MLNLP-World/Paper-Picture-Writing-Code
MLNLP: Paper Picture Writing Code
Jermmy/pytorch-quantization-demo
A simple network quantization demo using pytorch from scratch.
anyproto/anytype-ts
Official Anytype client for MacOS, Linux, and Windows
robotics-survey/Awesome-Robotics-Foundation-Models
jonbarron/website
rbd-benchmarks/rbd-benchmarks
datawhalechina/leedl-tutorial
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
adam-smnk/Open-CIM-Compiler
hipersys-team/lightning
[SIGCOMM 2023] Lightning: A Reconfigurable Photonic-Electronic SmartNIC for Fast and Energy-Efficient Inference
spcl/rapidchiplet
A toolchain for rapid design space exploration of chiplet architectures
CMU-SAFARI/ramulator2
Ramulator 2.0 is a modern, modular, extensible, and fast cycle-accurate DRAM simulator. It provides support for agile implementation and evaluation of new memory system designs (e.g., new DRAM standards, emerging RowHammer mitigation techniques). Described in our paper https://people.inf.ethz.ch/omutlu/pub/Ramulator2_arxiv23.pdf
umd-memsys/DRAMsim3
DRAMsim3: a Cycle-accurate, Thermal-Capable DRAM Simulator
sujunyan/tex-gallery
yyu-netize/vivado_project
To update the research on the accomplishments of the AI model accelerator
sjtu-zhao-lab/pom
An Optimizing Framework on MLIR for Efficient FPGA-based Accelerator Generation
barbedo/vivado-git
A git-friendly Vivado wrapper
spcl/daceml
A Data-Centric Compiler for Machine Learning
pytorch/glow
Compiler for Neural Network hardware accelerators
merrymercy/awesome-tensor-compilers
A list of awesome compiler projects and papers for tensor computation and deep learning.
chhzh123/ptc-tutorial
PyTorch compilation tutorial covering TorchScript, torch.fx, and Slapo
mlc-ai/notebooks
inisis/brocolli
Everything in Torch Fx
PrincetonUniversity/openpiton
The OpenPiton Platform
groupsada/DeepBurning
Automatic generation of FPGA-based learning accelerators for the neural network family
mohdumar644/TinyYOLO-BNN
Example of Tiny YOLO deployed using Xilinx BNN-PYNQ.