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YSDA course in Speech Processing.
Minimal implementation of scalable rectified flow transformers, based on SD3's approach
Self-contained, minimalistic implementation of diffusion models with Pytorch.
T5-based (russian) text normalization
A numpy implementation of the Transformer model in "Attention is All You Need"
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
Collection of resources on the applications of Large Language Models (LLMs) in Audio AI.
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Implementation of Voicebox, new SOTA Text-to-speech network from MetaAI, in Pytorch
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
CoTracker is a model for tracking any point (pixel) on a video.
Probabilistic language based on pattern matching and constraint propagation, 153 examples
PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.