Alternatives and similar repositories for mojo-gpu-puzzles

Users that are interested in mojo-gpu-puzzles are comparing it to the libraries listed below

• nabla-ml / nabla
  Nabla is a novel Distributed-Tensor and Scientific-Computing Framework; built from scratch on top of Mojo and MAX
  ☆318Updated this week
• dorjeduck / llm.mojo
  port of Andrjey Karpathy's llm.c to Mojo
  ☆363Updated 6 months ago
• Quentin-Anthony / nanoMPI
  Simple MPI implementation for prototyping or learning
  ☆300Updated 6 months ago
• tensara / tensara
  Competitive GPU kernel optimization platform.
  ☆149Updated 2 weeks ago
• obadakhalili / tinygrad-tensor-puzzles
  Solve puzzles to improve your tinygrad skills!
  ☆178Updated 3 months ago
• basalt-org / basalt
  A Machine Learning framework from scratch in Pure Mojo 🔥
  ☆441Updated last year
• nreHieW / r-nn
  Tensor library with autograd using only Rust's standard library
  ☆71Updated last year
• IST-DASLab / llmq
  Quantized LLM training in pure CUDA/C++.
  ☆235Updated 2 weeks ago
• PrimeIntellect-ai / pi-quant
  SIMD quantization kernels
  ☆94Updated 5 months ago
• dorjeduck / momograd
  A Learning Journey: Micrograd in Mojo 🔥
  ☆65Updated last year
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆155Updated 2 years ago
• gpu-mode / kernelbot
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆68Updated this week
• Benny-Nottonson / Mojo-Marathons
  ☆29Updated last year
• gpu-mode / reference-kernels
  Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!
  ☆200Updated last week
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆152Updated last year
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆197Updated 8 months ago
• huggingface / gpu-fryer
  Where GPUs get cooked 👩‍🍳🔥
  ☆362Updated 2 weeks ago
• jax-ml / scaling-book
  Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
  ☆827Updated last week
• mesozoic-egg / tinygrad-notes
  Tutorials on tinygrad
  ☆455Updated 3 months ago
• automata / mojograd
  Implementation of Karpathy's micrograd in Mojo
  ☆77Updated 2 years ago
• microsoft / dion
  Dion optimizer algorithm
  ☆424Updated 3 weeks ago
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆193Updated last week
• Benny-Nottonson / voodoo
  A working machine learning framework in pure Mojo 🔥
  ☆130Updated last year
• PrimeIntellect-ai / pccl
  PCCL (Prime Collective Communications Library) implements fault tolerant collective communications over IP
  ☆141Updated 4 months ago
• salykova / sgemm.cu
  High-Performance FP32 GEMM on CUDA devices
  ☆117Updated last year
• divyamakkar0 / JAXformer
  A zero-to-one guide on scaling modern transformers with n-dimensional parallelism.
  ☆115Updated last month
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆66Updated 10 months ago
• wafer-ai / gpu-perf-engineering-resources
  A curriculum for learning about gpu performance engineering, from scratch to what the frontier AI labs do
  ☆341Updated 3 weeks ago
• modula-systems / modula
  🧱 Modula software package
  ☆322Updated 5 months ago
• ulrichstern / cuda-convnet
  Alex Krizhevsky's original code from Google Code
  ☆199Updated 9 years ago