Alternatives and similar repositories for Starter

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

• PFCCLab / Camp
  飞桨护航计划集训营
  ☆20Updated this week
• hyperai / triton-cn
  Triton Documentation in Chinese Simplified / Triton 中文文档
  ☆96Updated last week
• ZonePG / cs-notes
  my cs notes
  ☆56Updated last year
• PaddlePaddle / community
  PaddlePaddle Developer Community
  ☆128Updated last week
• openmlsys / openmlsys-cuda
  Tutorials for writing high-performance GPU operators in AI frameworks.
  ☆132Updated 2 years ago
• dlsyscourse / hw2
  ☆11Updated 3 months ago
• caiwanxianhust / FasterLLaMA
  使用 CUDA C++ 实现的 llama 模型推理框架
  ☆63Updated last year
• gogongxt / nano-sglang
  ☆91Updated 3 weeks ago
• harleyszhang / lite_llama
  A light llama-like llm inference framework based on the triton kernel.
  ☆167Updated 3 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.
  ☆242Updated last month
• YuxueYang1204 / CudaDemo
  Implement custom operators in PyTorch with cuda/c++
  ☆74Updated 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
  ☆123Updated 4 months ago
• toyaix / TritonLLM
  LLM Inference via Triton (Flexible & Modular): Focused on Kernel Optimization using CUBIN binaries, Starting from gpt-oss Model
  ☆61Updated 2 months ago
• harleyszhang / llm_counts
  llm theoretical performance analysis tools and support params, flops, memory and latency analysis.
  ☆113Updated 5 months ago
• InfiniTensor / RefactorGraph
  分层解耦的深度学习推理引擎
  ☆78Updated 10 months ago
• mdy666 / mdy_triton
  ☆149Updated 5 months ago
• InfiniTensor / InfiniTensor
  ☆276Updated last month
• ShigureLab / python-lib-starter
  Just a template for quickly creating a python library.
  ☆10Updated last week
• flagos-ai / FlagCX
  ☆137Updated last week
• OpenBMB / CPM.cu
  CPM.cu is a lightweight, high-performance CUDA implementation for LLMs, optimized for end-device inference and featuring cutting-edge tec…
  ☆212Updated 2 months ago
• feifeibear / LLMRoofline
  Compare different hardware platforms via the Roofline Model for LLM inference tasks.
  ☆119Updated last year
• xgqdut2016 / cuda_code
  easy cuda code
  ☆92Updated last year
• PKUFlyingPig / MIT6.5940_TinyML
  Course materials for MIT6.5940: TinyML and Efficient Deep Learning Computing
  ☆65Updated 11 months ago
• CalvinXKY / mfu_calculation
  A simple calculation for LLM MFU.
  ☆51Updated 3 months ago
• zjhellofss / triton_course
  ☆39Updated 7 months ago
• zjhellofss / KuiperCourse
  b站上的课程
  ☆81Updated 2 years ago
• zhaochenyang20 / ModelServer
  Efficient, Flexible, and Highly Fault-Tolerant Model Service Management Based on SGLang
  ☆61Updated last year
• BBuf / how-to-learn-deep-learning-framework
  how to learn PyTorch and OneFlow
  ☆465Updated last year
• PFCCLab / blog
  PFCC 社区博客
  ☆13Updated this week
• Sunt-ing / stick
  A PyTorch-like deep learning framework. Just for fun.
  ☆157Updated 2 years ago