Shahmatov Arseniy's repositories
ru-clip-tiny
RuCLIP tiny (Russian Contrastive Language–Image Pretraining) is a neural network trained to work with different pairs (images, texts).
ruCLIP-SB
RuCLIP-SB (Russian Contrastive Language–Image Pretraining SWIN-BERT) is a multimodal model for obtaining images and text similarities and rearranging captions and pictures. Unlike other versions of the model we use BERT for text encoder and SWIN transformer for image encoder.
dalle2_decoder
GLIDE: a diffusion-based text-conditional image synthesis model
GPT2_chatbot
GPT2 chatbot
backgroundremover
Background Remover lets you Remove Background from images and video using AI with a simple command line interface that is free and open source.
consistency_models
Official repo for consistency models.
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
improved-diffusion
Release for Improved Denoising Diffusion Probabilistic Models
micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
rembg
Rembg is a tool to remove images background
stable-diffusion
A latent text-to-image diffusion model
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
VQ-Diffusion
Official implementation of VQ-Diffusion
webdataset
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.