xu-wang11

xu-wang11's Stars

• nuprl/MultiPL-E

  A multi-programming language benchmark for LLMs

  Language:Python20839

• sgl-project/sglang

  SGLang is a fast serving framework for large language models and vision language models.

  Language:Python6.2k526

• audiocontentanalysis/conferences

  :alarm_clock: MIR conference deadline countdowns

  Language:JavaScript62

• 0voice/Introduce_to_virtualization

  500篇关于虚拟化的经典资料，含CPU虚拟化，磁盘虚拟化，内存虚拟化，io虚拟化。

  625158

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python169k44.5k

• fancy88/iBook

  收藏一些电子书

  3.8k1k

• LinuxCNC/linuxcnc

  LinuxCNC controls CNC machines. It can drive milling machines, lathes, 3d printers, laser cutters, plasma cutters, robot arms, hexapods, and more.

  Language:Python1.8k1.2k

• zbezj/HEU_KMS_Activator

  30.1k3.1k

• roquo/instant-meshes

  Interactive field-aligned mesh generator

  Language:C++2

• wjakob/instant-meshes

  Interactive field-aligned mesh generator

  Language:C++5.2k591

• ucbrise/cs294-ai-sys-fa19

  CS294-162; Machine Learning Systems Seminar

  Language:HTML3113

• zealotCE/America-Against-America

  《美国反对美国》是王沪宁先生在上世纪80年代末赴美观察写作的。我们知道在那个年代**对西方特别是美国的追捧有多高，所以突然看到一个学者在80年代就有如此清楚的认识，十分钦佩。由于网上只有效果很差的PDF扫描版，所以我想利用OCR技术和肉眼（人体OCR）来转成现代化的文本格式。目前已经全部完成。

  2.4k303

• Hyduni001/Deterministic_Network_Research

  Including FlexE、TSN、DetNet and ITU2030 and so on， in continuous update

  3515

• vamsiDT/DeNS

  DeNS: Deterministic Networks Simulator

  Language:C++348

• jiazhihao/TASO

  The Tensor Algebra SuperOptimizer for Deep Learning

  Language:C++69290

• HuaizhengZhang/AI-System-School

  🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSys, etc. 🗃️ Llama3, Mistral, etc. 🧑‍💻 Video Tutorials.

  2.7k311

• gpgpu-sim/gpgpu-sim_distribution

  GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as well as a performance visualization tool, AerialVisoin, and an integrated energy model, GPUWattch.

  Language:C++1.1k511

• DongzhuXu/5G_measurement

  Sub-6 band 5G measurement tools and dataset

  Language:Shell3711

• InES-HPMM/linux-l4t-4.4

  Linux kernel 4.4 forked from Nvidia Linux4Tegra for TX1 and TX2. Supports L4T 28.1 and 28.2.1

  3224

• google-ai-edge/mediapipe

  Cross-platform, customizable ML solutions for live and streaming media.

  Language:C++27.7k5.2k

• tucan9389/awesome-ml-demos-with-ios

  The challenge projects for Inferencing machine learning models on iOS

  Language:Python1.2k137

• bugaosuni59/TH-CPL

  清华大学计算机学科推荐学术会议和期刊列表

  Language:PHP923112

• avinashpaliwal/Super-SloMo

  PyTorch implementation of Super SloMo by Jiang et al.

  Language:Python3k476

• faithfracture/Apple-Boost-BuildScript

  Script for building Boost for Apple platforms (iOS, iOS Simulator, tvOS, tvOS Simulator, OS X)

  Language:Shell279111

• dpilger26/NumCpp

  C++ implementation of the Python Numpy library

  Language:C++3.6k555

• Smorodov/Multitarget-tracker

  Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

  Language:C++2.2k651

• yihongXU/deepMOT

  Official Implementation of How To Train Your Deep Multi-Object Tracker (CVPR2020)

  49887

• STVIR/pysot

  SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

  Language:Python4.4k1.1k

• wang-xinyu/tensorrtx

  Implementation of popular deep learning networks with TensorRT network definition API

  Language:C++7k1.8k

• onnx/models

  A collection of pre-trained, state-of-the-art models in the ONNX format

  Language:Jupyter Notebook8k1.4k