ash-01xor / bpe.cLinks
Simple Byte pair Encoding mechanism used for tokenization process . written purely in C
☆140Updated last year
Alternatives and similar repositories for bpe.c
Users that are interested in bpe.c are comparing it to the libraries listed below
Sorting:
- UNet diffusion model in pure CUDA☆657Updated last year
- Fast bare-bones BPE for modern tokenizer training☆173Updated 6 months ago
- A really tiny autograd engine☆96Updated 7 months ago
- FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.☆327Updated last month
- Alex Krizhevsky's original code from Google Code☆197Updated 9 years ago
- An implementation of the transformer architecture onto an Nvidia CUDA kernel☆201Updated 2 years ago
- Simple MPI implementation for prototyping or learning☆293Updated 4 months ago
- Recreating PyTorch from scratch (C/C++, CUDA, NCCL and Python, with multi-GPU support and automatic differentiation!)☆161Updated last month
- Implementation of Diffusion Transformer (DiT) in JAX☆299Updated last year
- A repository to unravel the language of GPUs, making their kernel conversations easy to understand☆195Updated 6 months ago
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆587Updated 4 months ago
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆444Updated 9 months ago
- Learning about CUDA by writing PTX code.☆150Updated last year
- ☆178Updated last year
- PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)☆66Updated 9 months ago
- Learnings and programs related to CUDA☆429Updated 5 months ago
- making the official triton tutorials actually comprehensible☆80Updated 4 months ago
- ☆228Updated 11 months ago
- ☆533Updated 4 months ago
- (WIP) A small but powerful, homemade PyTorch from scratch.☆662Updated this week
- Normalized Transformer (nGPT)☆194Updated last year
- Quantized LLM training in pure CUDA/C++.☆224Updated last week
- Following Karpathy with GPT-2 implementation and training, writing lots of comments cause I have memory of a goldfish☆172Updated last year
- Minimalistic, extremely fast, and hackable researcher's toolbench for GPT models in 307 lines of code. Reaches <3.8 validation loss on wi…☆355Updated last year
- small auto-grad engine inspired from Karpathy's micrograd and PyTorch☆277Updated last year
- ☆45Updated 7 months ago
- For optimization algorithm research and development.☆553Updated last week
- ☆91Updated last year
- ☆225Updated last month
- An extension of the nanoGPT repository for training small MOE models.☆219Updated 9 months ago