Alternatives and similar repositories for Camp

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

• PFCCLab / Starter
  【HACKATHON 预备营】飞桨启航计划集训营
  ☆17Updated this week
• zjhellofss / triton_course
  ☆39Updated 7 months ago
• YuxueYang1204 / CudaDemo
  Implement custom operators in PyTorch with cuda/c++
  ☆75Updated 2 years ago
• harleyszhang / lite_llama
  A light llama-like llm inference framework based on the triton kernel.
  ☆166Updated 2 months ago
• RussWong / CUDATutorial
  A CUDA tutorial to make people learn CUDA program from 0
  ☆262Updated last year
• hyperai / triton-cn
  Triton Documentation in Chinese Simplified / Triton 中文文档
  ☆95Updated 3 weeks ago
• li199603 / parallel_prefix_sum
  Parallel Prefix Sum (Scan) with CUDA
  ☆27Updated last year
• ifromeast / cuda_learning
  learning how CUDA works
  ☆350Updated 9 months ago
• CalvinXKY / BasicCUDA
  A tutorial for CUDA&PyTorch
  ☆171Updated 10 months ago
• zjhellofss / KuiperLLama
  校招、秋招、春招、实习好项目，带你从零动手实现支持LLama2/3和Qwen2.5的大模型推理框架。
  ☆463Updated last month
• zjhellofss / kuiperdatawhale
  ☆302Updated last year
• caiwanxianhust / FasterLLaMA
  使用 CUDA C++ 实现的 llama 模型推理框架
  ☆62Updated last year
• BBuf / how-to-learn-deep-learning-framework
  how to learn PyTorch and OneFlow
  ☆461Updated last year
• interestingLSY / CUDA-From-Correctness-To-Performance-Code
  Codes & examples for "CUDA - From Correctness to Performance"
  ☆117Updated last year
• xgqdut2016 / hpc_project
  some hpc project for learning
  ☆25Updated last year
• PaddlePaddle / community
  PaddlePaddle Developer Community
  ☆128Updated last week
• openmlsys / openmlsys-cuda
  Tutorials for writing high-performance GPU operators in AI frameworks.
  ☆133Updated 2 years ago
• LDLINGLINGLING / nano_vllm_note
  注释的nano_vllm仓库，并且完成了MiniCPM4的适配以及注册新模型的功能
  ☆114Updated 4 months ago
• xlite-dev / ffpa-attn
  🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.
  ☆235Updated 3 weeks ago
• harleyszhang / llm_counts
  llm theoretical performance analysis tools and support params, flops, memory and latency analysis.
  ☆113Updated 5 months ago
• caixiongjiang / HPC
  高性能计算课程&CUDA编程实例&深度学习推理框架
  ☆61Updated 2 years ago
• AyakaGEMM / Hands-on-GEMM
  ☆144Updated last year
• RussWong / LLM-engineering
  ☆26Updated 4 months ago
• PFCCLab / blog
  PFCC 社区博客
  ☆13Updated 2 weeks 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！
  ☆374Updated 3 years ago
• InfiniTensor / InfiniTensor
  ☆274Updated last month
• xgqdut2016 / cuda_code
  easy cuda code
  ☆91Updated 11 months ago
• Pegessi / conv2d_direct
  ☆35Updated 2 years ago
• PaddlePaddle / PaConvert
  PaddlePaddle Code Convert Toolkit. 『飞桨』深度学习代码转换工具
  ☆119Updated last week
• ZonePG / cs-notes
  my cs notes
  ☆55Updated last year