Alternatives and similar repositories for KuiperLLama:

Users that are interested in KuiperLLama are comparing it to the libraries listed below

• zjhellofss / kuiperdatawhale
  ☆238Updated 3 months ago
• ifromeast / cuda_learning
  learning how CUDA works
  ☆190Updated 5 months ago
• Eddie-Wang1120 / HPC-Learning-Notes
  高性能计算相关知识学习笔记，包含学习笔记和相关知识的代码demo，在持续完善中。 如果有帮助的话请Star一下，对作者帮助很大，谢谢！
  ☆393Updated last year
• RussWong / CUDATutorial
  A CUDA tutorial to make people learn CUDA program from 0
  ☆202Updated 6 months ago
• Eddie-Wang1120 / Professional-CUDA-C-Programming-Code-and-Notes
  CUDA C 编程权威指南代码实现 包含了书上第二章到第八章的大部分代码实现和作者笔记，全由作者本人手动实现，难免有错误的地方，请大家谨慎参考，非常欢迎对错误的指正。 如果有帮助的话请Star一下，对作者帮助很大，谢谢！
  ☆306Updated 2 years ago
• PaddleJitLab / CUDATutorial
  A self-learning tutorail for CUDA High Performance Programing.
  ☆327Updated last month
• Tongkaio / CUDA_Kernel_Samples
  CUDA 算子手撕与面试指南
  ☆97Updated 3 weeks ago
• BBuf / how-to-learn-deep-learning-framework
  how to learn PyTorch and OneFlow
  ☆378Updated 9 months ago
• caixiongjiang / HPC
  高性能计算课程&CUDA编程实例&深度学习推理框架
  ☆34Updated last year
• QINZHAOYU / CudaSteps
  基于《cuda编程-基础与实践》（樊哲勇 著）的cuda学习之路。
  ☆264Updated last year
• MAhaitao999 / CUDA_Programming
  《CUDA编程基础与实践》一书的代码
  ☆105Updated 2 years ago
• harleyszhang / lite_llama
  A light llama-like llm inference framework based on the triton kernel.
  ☆77Updated last week
• zjhellofss / KuiperCourse
  b站上的课程
  ☆69Updated last year
• XiaoSong9905 / CUDA-Optimization-Guide
  Xiao's CUDA Optimization Guide [Active Adding New Contents]
  ☆258Updated 2 years ago
• harleyszhang / llm_counts
  llm theoretical performance analysis tools and support params, flops, memory and latency analysis.
  ☆75Updated last week
• xgqdut2016 / cuda_code
  easy cuda code
  ☆42Updated 3 weeks ago
• HeKun-NVIDIA / TensorRT-Developer_Guide_in_Chinese
  ☆252Updated 2 years ago
• CalvinXKY / BasicCUDA
  A tutorial for CUDA&PyTorch
  ☆125Updated 2 months ago
• sunkx109 / My-Torch-Extension
  A minimalist and extensible PyTorch extension for implementing custom backend operators in PyTorch.
  ☆31Updated 9 months ago
• nndeploy / nndeploy
  nndeploy is an end-to-end model deployment framework. Based on multi-terminal inference and directed acyclic graph model deployment, it i…
  ☆676Updated this week
• Sunt-ing / stick
  A PyTorch-like deep learning framework. Just for fun.
  ☆141Updated last year
• AyakaGEMM / Hands-on-GEMM
  ☆105Updated 10 months ago
• interestingLSY / CUDA-From-Correctness-To-Performance-Code
  Codes & examples for "CUDA - From Correctness to Performance"
  ☆76Updated 2 months ago
• BBuf / how-to-optim-algorithm-in-cuda
  how to optimize some algorithm in cuda.
  ☆1,827Updated this week
• PKUFlyingPig / CMU10-714
  Learning material for CMU10-714: Deep Learning System
  ☆229Updated 8 months ago
• 66RING / tiny-flash-attention
  flash attention tutorial written in python, triton, cuda, cutlass
  ☆244Updated 2 weeks ago
• YuxueYang1204 / CudaDemo
  Implement custom operators in PyTorch with cuda/c++
  ☆48Updated 2 years ago
• Cjkkkk / CUDA_gemm
  A simple high performance CUDA GEMM implementation.
  ☆343Updated last year
• whutbd / cuda-learn-note
  🎉CUDA 笔记 / 高频面试题汇总 / C++笔记，个人笔记，更新随缘: sgemm、sgemv、warp reduce、block reduce、dot product、elementwise、softmax、layernorm、rmsnorm、hist etc.
  ☆18Updated 11 months ago
• 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…
  ☆889Updated last year