mryab - Overview (original) (raw)

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1. Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
   Python 2.2k 190
2. 🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
   Python 9.7k 560
3. Efficient Deep Learning Systems course materials (HSE, YSDA)
   Jupyter Notebook 852 132
4. Running large language models on a single GPU for throughput-oriented scenarios.
   Python 9.3k 573
5. Official code for "Distributed Deep Learning in Open Collaborations" (NeurIPS 2021)
   Jupyter Notebook 116 6
6. "Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts" (NeurIPS 2020), original PyTorch implementation
   Jupyter Notebook 56 1