Alternatives and similar repositories for kernels

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

• 1y33 / 100Days
  GPU Kernels
  ☆188Updated 2 months ago
• Maharshi-Pandya / cudacodes
  Learnings and programs related to CUDA
  ☆411Updated last week
• kmohan321 / Research_Papers
  ☆46Updated 3 months ago
• naklecha / llm-inference-optimizations-explained
  in this repository, i'm going to implement increasingly complex llm inference optimizations
  ☆63Updated last month
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆66Updated 3 months ago
• kabir2505 / tiny-mixtral
  ☆42Updated 2 months ago
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆188Updated last month
• hkproj / 100-days-of-gpu
  ☆349Updated 3 months ago
• JINO-ROHIT / advanced_ml
  ☆52Updated 2 weeks ago
• hkproj / multi-latent-attention
  ☆40Updated last month
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆378Updated 4 months ago
• silvaxxx1 / MyLLM
  "LLM from Zero to Hero: An End-to-End Large Language Model Journey from Data to Application!"
  ☆30Updated this week
• loganwatchorn / notes-pmpp
  Notes on "Programming Massively Parallel Processors" by Hwu, Kirk, and Hajj (4th ed.)
  ☆52Updated 11 months ago
• apoorvnandan / lilgrad
  pytorch from scratch in pure C/CUDA and python
  ☆40Updated 9 months ago
• smolorg / smolgrad
  small auto-grad engine inspired from Karpathy's micrograd and PyTorch
  ☆272Updated 7 months ago
• a-hamdi / GPU
  100 days of building GPU kernels!
  ☆458Updated 2 months ago
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆195Updated 2 months ago
• YuvrajSingh-mist / Paper-Replications
  A repository consisting of paper/architecture replications of classic/SOTA AI/ML papers in pytorch
  ☆309Updated 3 weeks ago
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆133Updated last year
• ulrichstern / cuda-convnet
  Alex Krizhevsky's original code from Google Code
  ☆194Updated 9 years ago
• krupadav3 / Encoder-Block-in-CUDA
  Here's all my Python/Numba (CUDA) code for the encoder block I made :)
  ☆65Updated 2 months ago
• 0xD4rky / Vision-Transformers
  This repo has all the basic things you'll need in-order to understand complete vision transformer architecture and its various implementa…
  ☆227Updated 6 months ago
• evintunador / triton_docs_tutorials
  making the official triton tutorials actually comprehensible
  ☆45Updated 3 months ago
• gevtushenko / llm.c
  LLM training in simple, raw C/CUDA
  ☆99Updated last year
• lucasdelimanogueira / PyNorch
  Recreating PyTorch from scratch (C/C++, CUDA, NCCL and Python, with multi-GPU support and automatic differentiation!)
  ☆150Updated last year
• Lossfunk / KernelBench-v2
  KernelBench v2: Can LLMs Write GPU Kernels? - Benchmark with Torch -> Triton (and more!) problems
  ☆19Updated last week
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆29Updated this week
• drkennetz / cuda_examples
  Some CUDA example code with READMEs.
  ☆168Updated 4 months ago
• hkproj / pytorch-transformer-distributed
  Distributed training (multi-node) of a Transformer model
  ☆72Updated last year
• AmeyaWagh / llama2.cpp
  Inference Llama 2 in C++
  ☆43Updated last year