Alternatives and similar repositories for triton_course

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

• harleyszhang / lite_llama
  A light llama-like llm inference framework based on the triton kernel.
  ☆166Updated 2 months ago
• ifromeast / cuda_learning
  learning how CUDA works
  ☆347Updated 9 months ago
• caiwanxianhust / FasterLLaMA
  使用 CUDA C++ 实现的 llama 模型推理框架
  ☆62Updated last year
• harleyszhang / llm_counts
  llm theoretical performance analysis tools and support params, flops, memory and latency analysis.
  ☆113Updated 4 months ago
• RussWong / CUDATutorial
  A CUDA tutorial to make people learn CUDA program from 0
  ☆261Updated last year
• 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
• RussWong / LLM-engineering
  ☆26Updated 4 months 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 3 months ago
• BBuf / how-to-learn-deep-learning-framework
  how to learn PyTorch and OneFlow
  ☆461Updated last year
• ArthurinRUC / cutlass-notes
  From Minimal GEMM to Everything
  ☆82Updated 3 weeks ago
• zjhellofss / kuiperdatawhale
  ☆302Updated last year
• AyakaGEMM / Hands-on-GEMM
  ☆144Updated last year
• xgqdut2016 / hpc_project
  some hpc project for learning
  ☆25Updated last year
• sunkx109 / My-Torch-Extension
  A minimalist and extensible PyTorch extension for implementing custom backend operators in PyTorch.
  ☆37Updated last year
• YuxueYang1204 / CudaDemo
  Implement custom operators in PyTorch with cuda/c++
  ☆74Updated 2 years ago
• zjhellofss / KuiperCourse
  b站上的课程
  ☆81Updated 2 years ago
• CalvinXKY / BasicCUDA
  A tutorial for CUDA&PyTorch
  ☆170Updated 10 months ago
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆258Updated 5 months ago
• KarhouTam / cuda-kernels
  Some common CUDA kernel implementations (Not the fastest).
  ☆28Updated 3 weeks ago
• Qwesh157 / conv_op_optimization
  This project is about convolution operator optimization on GPU, include GEMM based (Implicit GEMM) convolution.
  ☆40Updated 2 months ago
• xgqdut2016 / cuda_code
  easy cuda code
  ☆90Updated 11 months ago
• iclementine / optimize_softmax
  Optimize softmax in triton in many cases
  ☆21Updated last year
• Tongkaio / CUDA_Kernel_Samples
  CUDA 算子手撕与面试指南
  ☆711Updated 3 months ago
• ZonePG / cs-notes
  my cs notes
  ☆55Updated last year
• cr7258 / ai-infra-learning
  This repository organizes materials, recordings, and schedules related to AI-infra learning meetings.
  ☆255Updated last week
• weishengying / tiny-flash-attention
  使用 cutlass 实现 flash-attention 精简版，具有教学意义
  ☆51Updated last year
• nicolaswilde / cuda-sgemm
  ☆70Updated 11 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
• DefTruth / CUDA-Learn-Notes
  📚200+ Tensor/CUDA Cores Kernels, ⚡️flash-attn-mma, ⚡️hgemm with WMMA, MMA and CuTe (98%~100% TFLOPS of cuBLAS/FA2 🎉🎉).
  ☆51Updated 7 months ago
• JackonYang / hands-on-tvm
  hands on model tuning with TVM and profile it on a Mac M1, x86 CPU, and GTX-1080 GPU.
  ☆50Updated 2 years ago