Alternatives and similar repositories for cuda-convnet

Users that are interested in cuda-convnet are comparing it to the libraries listed below

• clu0 / unet.cu
  UNet diffusion model in pure CUDA
  ☆656Updated last year
• joey00072 / Tinytorch
  A really tiny autograd engine
  ☆96Updated 6 months ago
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆150Updated last year
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆196Updated 2 years ago
• gpu-mode / profiling-cuda-in-torch
  ☆178Updated last year
• ash-01xor / bpe.c
  Simple Byte pair Encoding mechanism used for tokenization process . written purely in C
  ☆139Updated last year
• Laz4rz / GPT-2
  Following Karpathy with GPT-2 implementation and training, writing lots of comments cause I have memory of a goldfish
  ☆172Updated last year
• Quentin-Anthony / nanoMPI
  Simple MPI implementation for prototyping or learning
  ☆293Updated 4 months ago
• Maharshi-Pandya / cudacodes
  Learnings and programs related to CUDA
  ☆429Updated 5 months ago
• IST-DASLab / llmq
  Quantized LLM training in pure CUDA/C++.
  ☆221Updated last week
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆195Updated 6 months ago
• smolorg / smolgrad
  small auto-grad engine inspired from Karpathy's micrograd and PyTorch
  ☆277Updated last year
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆441Updated 9 months ago
• obadakhalili / tinygrad-tensor-puzzles
  Solve puzzles to improve your tinygrad skills!
  ☆170Updated 2 months ago
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆66Updated 9 months ago
• salykova / sgemm.c
  Multi-Threaded FP32 Matrix Multiplication on x86 CPUs
  ☆370Updated 8 months ago
• dshah3 / GPU-Puzzles
  Solve puzzles. Learn CUDA.
  ☆64Updated 2 years ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆153Updated 2 years ago
• wbrickner / noise_step
  noise_step: Training in 1.58b With No Gradient Memory
  ☆221Updated 11 months ago
• Quentin-Anthony / torch-profiling-tutorial
  ☆532Updated 4 months ago
• tugot17 / pmpp
  Complete solutions to the Programming Massively Parallel Processors Edition 4
  ☆608Updated 6 months ago
• gautierdag / bpeasy
  Fast bare-bones BPE for modern tokenizer training
  ☆173Updated 6 months ago
• mesozoic-egg / tinygrad-notes
  Tutorials on tinygrad
  ☆444Updated 2 months ago
• MarioSieg / magnetron
  (WIP) A small but powerful, homemade PyTorch from scratch.
  ☆662Updated this week
• naklecha / llm-inference-optimizations-explained
  in this repository, i'm going to implement increasingly complex llm inference optimizations
  ☆75Updated 7 months ago
• xjdr-alt / simple_transformer
  Simple Transformer in Jax
  ☆141Updated last year
• omkaark / simple-federated-learning
  ☆96Updated last year
• jax-ml / scaling-book
  Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
  ☆781Updated this week
• Infatoshi / docs.md
  ☆81Updated last week
• vdesai2014 / inference-optimization-blog-post
  ☆91Updated last year