EurekaLabsAI / microgradLinks
The Autograd Engine
☆636Updated last year
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☆568Updated last year
- The Tensor (or Array)☆449Updated last year
- The n-gram Language Model☆1,446Updated last year
- UNet diffusion model in pure CUDA☆649Updated last year
- nanoGPT style version of Llama 3.1☆1,432Updated last year
- Alex Krizhevsky's original code from Google Code☆199Updated 9 years ago
- Deep learning for dummies. All the practical details and useful utilities that go into working with real models.☆818Updated 2 months ago
- (WIP) A small but powerful, homemade PyTorch from scratch.☆643Updated this week
- Simple Byte pair Encoding mechanism used for tokenization process . written purely in C☆136Updated 11 months ago
- small auto-grad engine inspired from Karpathy's micrograd and PyTorch☆275Updated 10 months ago
- Minimalistic 4D-parallelism distributed training framework for education purpose☆1,856Updated last month
- Learnings and programs related to CUDA☆420Updated 3 months ago
- NanoGPT (124M) in 3 minutes☆3,176Updated 3 months ago
- Following master Karpathy with GPT-2 implementation and training, writing lots of comments cause I have memory of a goldfish☆172Updated last year
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆421Updated 7 months ago
- [ICLR 2025] Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling☆916Updated 5 months ago
- Best practices & guides on how to write distributed pytorch training code☆500Updated this week
- Implementing DeepSeek R1's GRPO algorithm from scratch☆1,609Updated 5 months ago
- FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.☆293Updated 2 months ago
- Fast bare-bones BPE for modern tokenizer training☆166Updated 3 months ago
- It is said that, Ilya Sutskever gave John Carmack this reading list of ~ 30 research papers on deep learning.☆859Updated last year
- nice and effective super simple calorie counter web app☆100Updated last year
- System 2 Reasoning Link Collection☆856Updated 7 months ago
- Simple MPI implementation for prototyping or learning☆284Updated 2 months ago
- An extension of the nanoGPT repository for training small MOE models.☆197Updated 7 months ago
- ☆509Updated 2 months ago
- 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.☆140Updated 3 years ago
- GPU Kernels☆201Updated 5 months ago
- An ML Systems Onboarding list☆914Updated 8 months ago
- High Quality Resources on GPU Programming/Architecture☆589Updated last year