Alternatives and similar repositories for cpp-micrograd

Users that are interested in cpp-micrograd are comparing it to the libraries listed below

• lucasdelimanogueira / PyNorch
  Recreating PyTorch from scratch (C/C++, CUDA, NCCL and Python, with multi-GPU support and automatic differentiation!)
  ☆150Updated last year
• salykova / sgemm.c
  Multi-Threaded FP32 Matrix Multiplication on x86 CPUs
  ☆352Updated 2 months ago
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆185Updated last year
• tgautam03 / xGeMM
  Accelerated General (FP32) Matrix Multiplication from scratch in CUDA
  ☆118Updated 5 months ago
• ash-01xor / bpe.c
  Simple Byte pair Encoding mechanism used for tokenization process . written purely in C
  ☆133Updated 7 months ago
• CisMine / GPU-in-ML-DL
  Apply GPU in ML and DL
  ☆52Updated 4 months ago
• arpitingle / gpu-alpha
  High Quality Resources on GPU Programming/Architecture
  ☆588Updated 10 months ago
• obadakhalili / tinygrad-tensor-puzzles
  Solve puzzles to improve your tinygrad skills!
  ☆132Updated 3 months ago
• Laz4rz / GPT-2
  Following master Karpathy with GPT-2 implementation and training, writing lots of comments cause I have memory of a goldfish
  ☆173Updated 10 months ago
• joey00072 / Tinytorch
  A really tiny autograd engine
  ☆94Updated last month
• mesozoic-egg / tinygrad-notes
  Tutorials on tinygrad
  ☆385Updated last week
• dshah3 / GPU-Puzzles
  Solve puzzles. Learn CUDA.
  ☆64Updated last year
• EurekaLabsAI / tensor
  The Tensor (or Array)
  ☆436Updated 10 months ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆134Updated last year
• apoorvnandan / lilgrad
  pytorch from scratch in pure C/CUDA and python
  ☆40Updated 8 months ago
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆132Updated last year
• smolorg / smolar
  a tiny multidimensional array implementation in C similar to numpy, but only one file.
  ☆228Updated 10 months ago
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆368Updated 3 months ago
• astledsa / Deep-Learning-C
  An implement of deep learning framework and models in C
  ☆48Updated 2 months ago
• wentasah / mmul-anim
  Visualization of cache-optimized matrix multiplication
  ☆148Updated 3 months ago
• smolorg / smolgrad
  small auto-grad engine inspired from Karpathy's micrograd and PyTorch
  ☆271Updated 7 months ago
• nreHieW / r-nn
  Tensor library with autograd using only Rust's standard library
  ☆68Updated 11 months ago
• clu0 / unet.cu
  UNet diffusion model in pure CUDA
  ☆608Updated 11 months ago
• spikedoanz / from-bits-to-intelligence
  could we make an ml stack in 100,000 lines of code?
  ☆46Updated 11 months ago
• SzymonOzog / FastSoftmax
  ☆38Updated 5 months ago
• Quentin-Anthony / nanoMPI
  Simple MPI implementation for prototyping or learning
  ☆248Updated 3 weeks ago
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆185Updated 3 weeks ago
• gpu-mode / profiling-cuda-in-torch
  ☆159Updated last year
• hkproj / triton-flash-attention
  ☆174Updated 5 months ago
• ulrichstern / cuda-convnet
  Alex Krizhevsky's original code from Google Code
  ☆193Updated 9 years ago