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Mikhail Grankin's Projects

deepmind-research icon deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deepspeed icon deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

dino icon dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dsrvae icon dsrvae

Unsupervised Real Image Super-Resolution via Variational AutoEncoder

gpt-2 icon gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gpt-c icon gpt-c

Train GPT model helped by CLIP

gpt-neo icon gpt-neo

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

jax icon jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

mingpt-quantize icon mingpt-quantize

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

retro-pytorch icon retro-pytorch

Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

rigl icon rigl

End-to-end training of sparse deep neural networks with little-to-no performance loss.

stihbot icon stihbot

telegram bot for Russian gpt models

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