astledsa / Deep-Learning-CLinks
An implement of deep learning framework and models in C
☆48Updated 8 months ago
Alternatives and similar repositories for Deep-Learning-C
Users that are interested in Deep-Learning-C are comparing it to the libraries listed below
Sorting:
- a tiny multidimensional array implementation in C similar to numpy, but only one file.☆226Updated last year
- small auto-grad engine inspired from Karpathy's micrograd and PyTorch☆277Updated last year
- my little linear algebra library☆44Updated last year
- Learnings and programs related to CUDA☆429Updated 5 months ago
- Intro to leetcodes. Basic techniques, quicksort and hash structures implementation, space and time complexities.☆97Updated last year
- could we make an ml stack in 100,000 lines of code?☆46Updated last year
- (WIP) A small but powerful, homemade PyTorch from scratch.☆662Updated this week
- Following Karpathy with GPT-2 implementation and training, writing lots of comments cause I have memory of a goldfish☆172Updated last year
- Neural network in C for recognizing american sign language(ASL) from scratch on the MNIST dataset. Optimized with parallel training. Cann…☆38Updated last year
- pytorch from scratch in pure C/CUDA and python☆41Updated last year
- Multi-Threaded FP32 Matrix Multiplication on x86 CPUs☆370Updated 8 months ago
- Andrej Kapathy's micrograd implemented in c☆30Updated last year
- High Quality Resources on GPU Programming/Architecture☆589Updated last year
- parallelized hyperdimensional tictactoe☆126Updated last year
- A really tiny autograd engine☆96Updated 6 months ago
- Tensor library with autograd using only Rust's standard library☆70Updated last year
- in this repository, i'm going to implement increasingly complex llm inference optimizations☆75Updated 7 months ago
- ☆96Updated last year
- This repo has all the basic things you'll need in-order to understand complete vision transformer architecture and its various implementa…☆228Updated 11 months ago
- Solve puzzles to improve your tinygrad skills!☆170Updated 2 months ago
- Accelerated General (FP32) Matrix Multiplication from scratch in CUDA☆174Updated 11 months ago
- Alex Krizhevsky's original code from Google Code☆197Updated 9 years ago
- Here's all my Python/Numba (CUDA) code for the encoder block I made :)☆68Updated 7 months ago
- Notes on "Programming Massively Parallel Processors" by Hwu, Kirk, and Hajj (4th ed.)☆53Updated last year
- ☆113Updated last week
- a tiny vectorstore implementation built with numpy.☆63Updated last year
- Noob Lessons from Stream about how GPUs work☆134Updated 8 months ago
- Implementations of Papers that I read, you can read my breakdown in my blog☆89Updated last month
- Learning about CUDA by writing PTX code.☆150Updated last year
- Optimized parallel training implementation of a neural network in C for recognizing handwritten digits from scratch on the MNIST dataset☆86Updated last year