Deep Learning

Knowledge Graph is a knowledge base that uses graph data structure to store and operate on the data. It powers applications such as Google

MLflow is an open-source platform that helps streamline the ML process and helps solve incurred challenges with model experimentation.

Get started with Streamlit, an open-source framework for building with machine learning and computer vision.

Learn the ins and outs of Kaggle, including finding useful datasets for ML projects and partaking in competitions.

Capsule Networks tries to solve the limitations of CNNs by preserving information, using a routing algorithm.

Attention mechanisms enable models to focus on specific parts of input data, enhancing their ability to process sequences effectively.

Batch normalization, CNN, neural network, network layers, deep learning method, gradient descent, convolutional neural networks

Representation learning is a subfield of machine learning focused on transforming data into compressed representations.

Grounded-SAM offers the best of both worlds in image segmentation, combining Grounding DINO with Segmentation Anything.

Swarm intelligence allows collaboration within social groups. Learn how nature-inspired algorithms guide solutions to complex challenges.

TikTok's Depth Anything model is a groundbreaking depth estimation framework. The newly published paper lays out everything you need to know.

EfficientNet is a CNN architecture that utilizes a compound scaling method to uniformly scale depth, width, and resolution.