dkjung

dkjung's Stars

• ggerganov/llama.cpp

  LLM inference in C/C++

  Language:C++74.3k5714.5k10.7k

• vllm-project/vllm

  A high-throughput and memory-efficient inference and serving engine for LLMs

  Language:Python38.1k3146.5k5.7k

• ml-explore/mlx

  MLX: An array framework for Apple silicon

  Language:C++19.1k1526211.1k

• apache/tvm

  Open deep learning compiler stack for cpu, gpu and specialized accelerators

  Language:C++12k3783.4k3.5k

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python11k815151k

• artidoro/qlora

  QLoRA: Efficient Finetuning of Quantized LLMs

  Language:Jupyter Notebook10.2k85250830

• yairm210/Unciv

  Open-source Android/Desktop remake of Civ V

  Language:Kotlin8.9k1104.2k1.6k

• rapidsai/cudf

  cuDF - GPU DataFrame Library

  Language:C++8.7k1576.7k927

• onnx/models

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

  Language:Jupyter Notebook8.3k1923931.4k

• dahlbyk/posh-git

  A PowerShell environment for Git

  Language:PowerShell7.8k183497815

• leejet/stable-diffusion.cpp

  Stable Diffusion and Flux in pure C/C++

  Language:C++3.8k55332343

• vinniefalco/DSPFilters

  A Collection of Useful C++ Classes for Digital Signal Processing

  Language:C++1.9k14446384

• NVIDIA/cub

  [ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl

  Language:Cuda1.7k90281449

• taka-no-me/android-cmake

  CMake toolchain file and other scripts for the Android NDK

  Language:CMake1.2k9956436

• Liu-xiandong/How_to_optimize_in_GPU

  This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.

  Language:Cuda9141315143

• cofyc/argparse

  Command-line arguments parsing library.

  Language:C7082730129

• OpenBMB/mlc-MiniCPM

  MiniCPM on Android platform.

  Language:Python6249050

• imagej/ImageJ

  Public domain software for processing and analyzing scientific images

  Language:Java60749190229

• lsc4719/MyViewOfLinuxSystems

  51910219

• greggagne/osc10e

  Source code for the 10th edition of Operating System Concepts

  Language:C517104279

• LoneGazebo/Community-Patch-DLL

  Community Patch for Civilization V - Brave New World

  Language:C++311209.2k163

• wojtask/clrs4e-solutions

  Solutions to exercises and problems from "Introduction to Algorithms", Fourth Edition by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein

  Language:TeX284121.6k39

• nnstreamer/nntrainer

  NNtrainer is Software Framework for Training Neural Network Models on Devices.

  Language:C++1511469682

• codyjack/OS-pintos

  Pintos OS from Stanford

  Language:C12140125

• lovit/namuwikitext

  Wikitext format dataset of Namuwiki (Most famous Korean wikipedia)

  Language:Python512111

• SheldonZhong/OS_practice

  Solutions to Operating System Concepts Exercises, 9th Edition

  Language:C241013

• KhaledElTahan/pintos

  Language:HTML192024

• sidneycadot/WindowFunctions

  A repository of code to generate window functions as used in signal processing.

  Language:C16311

• hms-dbmi/cistrome-explorer

  Interactive visual analytic tool for exploring epigenomics data w/ associated metadata, powered by HiGlass and Gosling

  Language:Jupyter Notebook1342180

• yuezhixiong/operating-system-lab

  Code of Programming Problems from Operating System Concepts

  Language:C6200