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Working on ML projects for: https://www.youtube.com/c/TheAiEpiphany
💭
Working on ML projects for: https://www.youtube.com/c/TheAiEpiphany

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gordicaleksa/README.md

I'm an ex Research Engineer at Google DeepMind & Microsoft, I run the The AI Epiphany community - and I'm currently in the process of building my first startup (still in stealth). I'm also a proud father of 16 H100s (generously sponsored by Hyperstack).

Highlights:
* I'm one of 3 main devs on the llm.c project led by Andrej Karpathy

Most recent OSS contributions:

  • llm.c - training LLMs in C/CUDA :)
  • airoboros - synthetic instruction following data generation framework

My older recent projects:


The AI Epiphany banner

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  1. llm.c llm.c Public

    Forked from karpathy/llm.c

    LLM training in simple, raw C/CUDA

    Cuda 5

  2. Open-NLLB Open-NLLB Public

    Effort to open-source NLLB checkpoints.

    Python 432 37

  3. pytorch-GAT pytorch-GAT Public

    My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…

    Jupyter Notebook 2.5k 333

  4. pytorch-original-transformer pytorch-original-transformer Public

    My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT p…

    Jupyter Notebook 1k 174

  5. get-started-with-JAX get-started-with-JAX Public

    The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well a…

    Jupyter Notebook 675 99

  6. pytorch-neural-style-transfer pytorch-neural-style-transfer Public

    Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the i…

    Python 381 80