Alternatives and similar repositories for deepx

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

• xgqdut2016 / cuda_code
  easy cuda code
  ☆90Updated 11 months ago
• InfiniTensor / InfiniTensor
  ☆274Updated last month
• interestingLSY / CUDA-From-Correctness-To-Performance-Code
  Codes & examples for "CUDA - From Correctness to Performance"
  ☆117Updated last year
• tongzhou80 / nanoPyC
  ☆70Updated 2 years ago
• YuxueYang1204 / CudaDemo
  Implement custom operators in PyTorch with cuda/c++
  ☆74Updated 2 years ago
• CalvinXKY / BasicCUDA
  A tutorial for CUDA&PyTorch
  ☆170Updated 10 months ago
• RussWong / LLM-engineering
  ☆26Updated 3 months ago
• InfiniTensor / operators
  算子库
  ☆17Updated 4 months ago
• hyperai / triton-cn
  Triton Documentation in Chinese Simplified / Triton 中文文档
  ☆91Updated last week
• Sunt-ing / stick
  A PyTorch-like deep learning framework. Just for fun.
  ☆156Updated 2 years ago
• xgqdut2016 / hpc2torch
  ☆29Updated last month
• InfiniTensor / RefactorGraph
  分层解耦的深度学习推理引擎
  ☆76Updated 9 months ago
• InfiniTensor / InfiniLM-Rust
  ☆125Updated last month
• flagos-ai / FlagCX
  ☆131Updated this week
• BBuf / how-to-learn-deep-learning-framework
  how to learn PyTorch and OneFlow
  ☆460Updated last year
• dsl-learn / LeetGPU
  LeetGPU Solutions
  ☆84Updated last month
• xlite-dev / ffpa-attn
  🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.
  ☆233Updated 2 weeks ago
• AdvancedCompiler / AdvancedCompiler
  先进编译实验室的个人主页
  ☆174Updated last month
• 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
  ☆108Updated 3 months ago
• YangLinzhuo / cuda-sgemm-optimization
  CUDA SGEMM optimization note
  ☆15Updated 2 years ago
• QianyanTech / NBAssembler
  Assembler and Decompiler for NVIDIA (Maxwell Pascal Volta Turing Ampere) GPUs.
  ☆91Updated 2 years ago
• l1nkr / DL-Compiler-Navigation
  Machine Learning Compiler Road Map
  ☆45Updated 2 years ago
• caiwanxianhust / FasterLLaMA
  使用 CUDA C++ 实现的 llama 模型推理框架
  ☆62Updated last year
• ArthurinRUC / cutlass-notes
  From Minimal GEMM to Everything
  ☆82Updated 3 weeks ago
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆254Updated 5 months ago
• xlite-dev / HGEMM
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆134Updated 6 months ago
• XiaoSong9905 / HPC-Notes
  Personal Notes for Learning HPC & Parallel Computation [Active Adding New Content]
  ☆75Updated 3 years ago
• flagos-ai / flagtree
  FlagTree is a unified compiler for multiple AI chips, which is forked from triton-lang/triton.
  ☆137Updated this week
• infinigence / Semi-PD
  A prefill & decode disaggregated LLM serving framework with shared GPU memory and fine-grained compute isolation.
  ☆116Updated 6 months ago
• sunkx109 / GPUs-Specs
  Summary of the Specs of Commonly Used GPUs for Training and Inference of LLM
  ☆67Updated 3 months ago