PyTorch

With the rise of deep learning, handling audio data efficiently has become increasingly important. PyTorch, a popular deep learning library, combined with torchaudio, provides a compelling toolkit for audio manipulation and preprocessing.......

Speech-to-text systems have become an integral part of modern technology, powering applications like digital assistants, transcription services, and translation applications. Constructing an effective speech-to-text system involves diverse......

Automatic Speech Recognition (ASR) is a rapidly evolving field that involves converting spoken language into text. PyTorch, a popular open-source machine learning library developed by Facebook's AI Research lab, is a powerful tool for......

Pytorch is a very popular framework in the Machine Learning and Deep Learning community, thanks to its flexibility and dynamic computation graph. One of the intriguing applications of PyTorch is in the field of Natural Language Processing......

Data privacy is a growing concern in today’s technological landscape. Traditional methods of ensuring data security often involve complex encryption or data anonymization. However, these may not fully prevent unintended data exposure,......

In the landscape of modern machine learning, generative models have become a powerful tool for creating synthetic data, which can be particularly beneficial in scenarios where real-world data is scarce or privacy concerns restrict usage.......

In recent years, artificial intelligence has opened new avenues in the field of art, enabling machines to generate visuals that range from the stunningly realistic to the abstract and surreal. PyTorch, a popular deep learning library,......

Pretraining models using self-supervised learning techniques have gained significant traction in the realm of machine learning, particularly for tasks involving natural language processing and computer vision. These techniques enable......

Generative models have gained popularity for their ability to create new content or predict hypothetical outcomes. However, evaluating and visualizing these models can be challenging but vital for understanding their performance and......

Speech synthesis is a fascinating domain within machine learning and artificial intelligence that aims to convert text into human-like speech. One advanced approach to achieving this is through Variational Autoencoders (VAEs), specifically......

In recent years, normalizing flows have garnered significant attention for their ability to model complex high-dimensional probability distributions. Their flexibility in defining tractable density models makes them especially attractive......

In recent years, image-to-image translation has become a significant task within the computer vision community. While paired image datasets are ideal for training, they are often challenging to obtain. This is where CycleGAN, a......