10-zin / cpp-microgradLinks
A c/c++ implementation of micrograd: a tiny autograd engine with neural net on top.
☆78Updated 2 years ago
Alternatives and similar repositories for cpp-micrograd
Users that are interested in cpp-micrograd are comparing it to the libraries listed below
Sorting:
- Multi-Threaded FP32 Matrix Multiplication on x86 CPUs☆376Updated 9 months ago
- Apply GPU in ML and DL☆56Updated 4 months ago
- An implementation of the transformer architecture onto an Nvidia CUDA kernel☆202Updated 2 years ago
- My own repository containing the codes I wrote to practice CUDA programming.☆65Updated 2 years ago
- Accelerated General (FP32) Matrix Multiplication from scratch in CUDA☆181Updated last year
- GPT-2 in C☆78Updated last year
- Tutorials on tinygrad☆455Updated 3 months ago
- Alex Krizhevsky's original code from Google Code☆199Updated 9 years ago
- If tinygrad wasn't small enough for you...☆774Updated last year
- CUDA Learning guide☆525Updated last year
- a tiny multidimensional array implementation in C similar to numpy, but only one file.☆225Updated last year
- Visualization of cache-optimized matrix multiplication☆157Updated 10 months ago
- Recreating PyTorch from scratch (C/C++, CUDA, NCCL and Python, with multi-GPU support and automatic differentiation!)☆162Updated 2 months ago
- UNet diffusion model in pure CUDA☆661Updated last year
- Simple Byte pair Encoding mechanism used for tokenization process . written purely in C☆146Updated last year
- pytorch from scratch in pure C/CUDA and python☆41Updated last year
- An implement of deep learning framework and models in C☆47Updated 10 months ago
- ☆492Updated last year
- This repository is a curated collection of resources, tutorials, and practical examples designed to guide you through the journey of mast…☆435Updated 11 months ago
- Documented and Unit Tested educational Deep Learning framework with Autograd from scratch.☆122Updated last year
- Well documented, unit tested, type checked and formatted implementation of a vanilla transformer - for educational purposes.☆282Updated last year
- Following Karpathy with GPT-2 implementation and training, writing lots of comments cause I have memory of a goldfish☆172Updated last year
- ☆89Updated 2 months ago
- Machine Learning with Symbolic Tensors☆356Updated last month
- (WIP) A small but powerful, homemade PyTorch from scratch.☆672Updated last week
- Notebooks for the "Deep Learning with JAX" book☆168Updated 8 months ago
- CUDA tutorials for Maths & ML tutorials with examples, covers multi-gpus, fused attention, winograd convolution, reinforcement learning.☆209Updated 7 months ago
- Solve puzzles to improve your tinygrad skills!☆178Updated 3 months ago
- Complete solutions to the Programming Massively Parallel Processors Edition 4☆655Updated 7 months ago
- small auto-grad engine inspired from Karpathy's micrograd and PyTorch☆276Updated last year