EurekaLabsAI / microgradLinks
The Autograd Engine
☆616Updated 9 months ago
Alternatives and similar repositories for micrograd
Users that are interested in micrograd are comparing it to the libraries listed below
Sorting:
- The Multilayer Perceptron Language Model☆551Updated 10 months ago
- The Tensor (or Array)☆436Updated 10 months ago
- The n-gram Language Model☆1,424Updated 10 months ago
- UNet diffusion model in pure CUDA☆608Updated 11 months ago
- nanoGPT style version of Llama 3.1☆1,380Updated 10 months ago
- Minimalistic 4D-parallelism distributed training framework for education purpose☆1,548Updated 2 weeks ago
- small auto-grad engine inspired from Karpathy's micrograd and PyTorch☆271Updated 7 months ago
- Deep learning for dummies. All the practical details and useful utilities that go into working with real models.☆801Updated last week
- Alex Krizhevsky's original code from Google Code☆192Updated 9 years ago
- Simple Byte pair Encoding mechanism used for tokenization process . written purely in C☆134Updated 7 months ago
- (WIP) A small but powerful, homemade PyTorch from scratch.☆555Updated this week
- Following master Karpathy with GPT-2 implementation and training, writing lots of comments cause I have memory of a goldfish☆173Updated 10 months ago
- Tutorials on tinygrad☆384Updated last month
- ☆341Updated 2 months ago
- Learnings and programs related to CUDA☆407Updated 4 months ago
- Implementing DeepSeek R1's GRPO algorithm from scratch☆1,417Updated 2 months ago
- [ICLR 2025] Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling☆881Updated last month
- An ML Systems Onboarding list☆816Updated 4 months ago
- Implementation of Diffusion Transformer (DiT) in JAX☆278Updated last year
- What would you do with 1000 H100s...☆1,053Updated last year
- NanoGPT (124M) in 3 minutes☆2,660Updated this week
- Puzzles for learning Triton☆1,695Updated 7 months ago
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆364Updated 3 months ago
- GPU Kernels☆181Updated last month
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆554Updated this week
- High Quality Resources on GPU Programming/Architecture☆588Updated 10 months ago
- Best practices & guides on how to write distributed pytorch training code☆441Updated 3 months ago
- Fast bare-bones BPE for modern tokenizer training☆159Updated 2 months ago
- Simple MPI implementation for prototyping or learning☆235Updated 2 weeks ago
- 100 days of building GPU kernels!☆442Updated last month