AkiRusProd / numpy-transformerLinks
A numpy implementation of the Transformer model in "Attention is All You Need"
☆58Updated last year
Alternatives and similar repositories for numpy-transformer
Users that are interested in numpy-transformer are comparing it to the libraries listed below
Sorting:
- LLaMA 2 implemented from scratch in PyTorch☆358Updated 2 years ago
- LORA: Low-Rank Adaptation of Large Language Models implemented using PyTorch☆117Updated 2 years ago
- ☆215Updated 10 months ago
- Notes on quantization in neural networks☆104Updated last year
- Well documented, unit tested, type checked and formatted implementation of a vanilla transformer - for educational purposes.☆267Updated last year
- I will build Transformer from scratch☆86Updated 3 months ago
- Distributed training (multi-node) of a Transformer model☆86Updated last year
- making the official triton tutorials actually comprehensible☆60Updated 2 months ago
- A repository to unravel the language of GPUs, making their kernel conversations easy to understand☆195Updated 5 months ago
- ☆174Updated last year
- Recreating PyTorch from scratch (C/C++, CUDA, NCCL and Python, with multi-GPU support and automatic differentiation!)☆160Updated last year
- Simple Byte pair Encoding mechanism used for tokenization process . written purely in C☆139Updated 11 months ago
- Best practices & guides on how to write distributed pytorch training code☆526Updated last week
- LoRA and DoRA from Scratch Implementations☆211Updated last year
- This repository contains an implementation of the LLaMA 2 (Large Language Model Meta AI) model, a Generative Pretrained Transformer (GPT)…☆72Updated 2 years ago
- Simple Adaptation of BitNet☆32Updated last year
- An extension of the nanoGPT repository for training small MOE models.☆207Updated 7 months ago
- ☆225Updated 2 weeks ago
- Tutorial for how to build BERT from scratch☆101Updated last year
- 100 days of building GPU kernels!☆523Updated 6 months ago
- Learn CUDA with PyTorch☆95Updated last month
- This code repository contains the code used for my "Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorch" blog po…☆91Updated 2 years ago
- Custom kernels in Triton language for accelerating LLMs☆26Updated last year
- GPU Kernels☆203Updated 6 months ago
- Llama from scratch, or How to implement a paper without crying☆579Updated last year
- Deep learning library implemented from scratch in numpy. Mixtral, Mamba, LLaMA, GPT, ResNet, and other experiments.☆53Updated last year
- Slides, notes, and materials for the workshop☆333Updated last year
- This is a repo covers ai research papers pseudocodes☆17Updated 2 years ago
- Simple, minimal implementation of the Mamba SSM in one pytorch file. Using logcumsumexp (Heisen sequence).☆125Updated last year
- Get down and dirty with FlashAttention2.0 in pytorch, plug in and play no complex CUDA kernels☆108Updated 2 years ago