Are you ready to navigate through the fascinating world of deep learning? The book "Dive into Deep Learning" provides a wide array of concepts, techniques, and practical applications designed to equip you with the knowledge you need to thrive in the realm of...
Sentence similarity models play a crucial role in understanding how sentences convey meaning and can be used in various applications such as paraphrase detection, semantic textual similarity, natural language inference, and answer selection. This guide will walk you...
Welcome to your guide on implementing the Self-supervised Sparse-to-Dense Depth Completion algorithm using PyTorch. This technique was developed by a brilliant team at MIT and harnesses the power of both LiDAR and monocular cameras for accurate depth prediction. Let’s...
Welcome to the world of Towhee, a powerful framework crafted to optimize the handling of unstructured data with the magic of Large Language Models (LLM). Whether tackling lengthy texts, images, audio, or video, Towhee promises to transform your data processing...
Welcome to the world of MLServer, an open-source inference server designed to effortlessly serve your machine learning models through REST and gRPC interfaces. Think of MLServer as a top-notch waiter at a restaurant, serving up your meticulously crafted dishes—your...
Stanislav Pidhorskyi • Donald A. Adjeroh • Gianfranco Doretto Official repository of the paper Google Drive folder with models and qualitative results Introduction to Adversarial Latent Autoencoders (ALAE) The Adversarial Latent Autoencoders (ALAE) present a powerful...
If you've ever felt boxed in by proprietary APIs like OpenAI's, you'll be exhilarated to discover Basaran! Basaran is an open-source alternative that offers a compatible streaming API for text generation models powered by Hugging Face Transformers. This guide walks...
In the world of deep learning, data loading can often feel like the tortoise racing against the hare. While your model might be ready to leap into action, it's often stuck waiting for data to arrive. Enter **ffcv** - a groundbreaking solution focused on accelerating...
RecSim NG stands as an elegant solution for modeling uncertainty in recommender ecosystems. Crafted with flexibility and scalability in mind, it allows researchers and practitioners to simulate multi-agent recommender systems seamlessly. This user-friendly guide will...
