The CORE-V CVA6 is an Application class 6-stage RISC-V CPU capable of booting Linux

Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

A comprehensive guide for beginners in the field of data management and artificial intelligence.

My learning notes/codes for ML SYS.

3 algorithms with matlab codes —— RangeDoppler,ChirpScaling,Omega-k

合成孔径雷达 相关。研究生期间学习 SAR/InSAR/PolSAR 相关的代码和总结，毕业后已经离开这个领域了。分享出来，仅此纪念。1）SAR: 成像算法，RD，CS，Radarsat-1数据成像处理。2）InSAR: 人造场景原始回波仿真、成像及干涉处理。包括平地场景和圆锥形场景。3）PolSAR: 极化定标算法，Whitt, PARC, Quegan, Ainsworth。详见 rea…

A dataflow architecture for universal graph neural network inference via multi-queue streaming.

BookSim 2.0

STONNE: A Simulation Tool for Neural Networks Engines

Repository to host and maintain scale-sim-v2 code

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.

[ECCV 2024 Oral] Code for paper: An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models

(CVPR 2025) PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction

A curated list for Efficient Large Language Models

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 stan…

Here are some implementations of basic hardware units in RTL language (verilog for now), which can be used for area/power evaluation and support the hardware design tradeoff.

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

A primitive library for neural network

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, in…

✨✨Latest Advances on Multimodal Large Language Models

SMAUG: Simulating Machine Learning Applications Using Gem5-Aladdin

This is the top-level repository for the Accel-Sim framework.

ONNXim is a fast cycle-level simulator that can model multi-core NPUs for DNN inference

A Fast and Extensible DRAM Simulator, with built-in support for modeling many different DRAM technologies including DDRx, LPDDRx, GDDRx, WIOx, HBMx, and various academic proposals. Described in the…

Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.

Collect some IC textbooks for learning.