Alternatives and similar repositories for LeetGPU

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

• PKUFlyingPig / MIT6.5940_TinyML
  Course materials for MIT6.5940: TinyML and Efficient Deep Learning Computing
  ☆47Updated 5 months ago
• zjhellofss / triton_course
  ☆28Updated last month
• interestingLSY / CUDA-From-Correctness-To-Performance-Code
  Codes & examples for "CUDA - From Correctness to Performance"
  ☆100Updated 8 months ago
• InfiniTensor / InfiniTensor
  ☆235Updated last week
• xgqdut2016 / hpc2torch
  ☆24Updated last week
• caiwanxianhust / FasterLLaMA
  使用 CUDA C++ 实现的 llama 模型推理框架
  ☆57Updated 7 months ago
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆197Updated 4 months ago
• harleyszhang / llm_counts
  llm theoretical performance analysis tools and support params, flops, memory and latency analysis.
  ☆96Updated 2 weeks ago
• guanrenyang / Programming-Massively-Parallel-Processors
  Solution of Programming Massively Parallel Processors
  ☆48Updated last year
• xgqdut2016 / cuda_code
  easy cuda code
  ☆75Updated 6 months ago
• nvixnu / pmpp__programming_massively_parallel_processors
  Examples and exercises from the book Programming Massively Parallel Processors - A Hands-on Approach. David B. Kirk and Wen-mei W. Hwu (T…
  ☆69Updated 4 years ago
• InternLM / Awesome-LLM-Training-System
  ☆36Updated 10 months ago
• FlagTree / flagtree
  FlagTree is a unified compiler for multiple AI chips, which is forked from triton-lang/triton.
  ☆53Updated this week
• violetDelia / LLCompiler
  ☆18Updated 2 weeks ago
• luliyucoordinate / cute-flash-attention
  Implement Flash Attention using Cute.
  ☆87Updated 6 months ago
• ZonePG / cs-notes
  my cs notes
  ☆51Updated 8 months ago
• RadeonFlow / RadeonFlow_Kernels
  Efficient implementation of DeepSeek Ops (Blockwise FP8 GEMM, MoE, and MLA) for AMD Instinct MI300X
  ☆50Updated last week
• tfruan2000 / mlsys-study-note
  My study note for mlsys
  ☆15Updated 7 months ago
• sunkx109 / GPUs-Specs
  Summary of the Specs of Commonly Used GPUs for Training and Inference of LLM
  ☆46Updated 3 months ago
• gty111 / GEMM_MMA
  Optimize GEMM with tensorcore step by step
  ☆26Updated last year
• YuxueYang1204 / CudaDemo
  Implement custom operators in PyTorch with cuda/c++
  ☆63Updated 2 years ago
• LearningInfiniTensor / TinyInfiniTensor
  ☆28Updated 5 months ago
• rchardx / cuda-gemm
  ☆23Updated 2 months ago
• flashinfer-ai / cutlass-viz
  ☆60Updated 2 months ago
• chenhongyu2048 / LLM-inference-optimization-paper
  Summary of some awesome work for optimizing LLM inference
  ☆77Updated 3 weeks ago
• JackonYang / hands-on-tvm
  hands on model tuning with TVM and profile it on a Mac M1, x86 CPU, and GTX-1080 GPU.
  ☆48Updated 2 years ago
• ademeure / DeeperGEMM
  DeeperGEMM: crazy optimized version
  ☆69Updated last month
• InternLM / turbomind
  ☆87Updated 3 months ago
• harleyszhang / lite_llama
  A light llama-like llm inference framework based on the triton kernel.
  ☆128Updated last week
• AdvancedCompiler / AdvancedCompiler
  先进编译实验室的个人主页
  ☆103Updated 2 months ago