by Google DeepMind · 0 reviews
A foundational deep reinforcement learning algorithm combining Q-learning with neural networks, using experience replay and target networks.
by Google Research · 0 reviews
Deep convolutional neural network trained on ImageNet for classifying images into object categories with high accuracy.
by DLR-RM · 0 reviews
Open-source implementations of deep reinforcement learning algorithms in PyTorch with consistent interfaces and documentation.
by OpenAI · 0 reviews
A policy gradient reinforcement learning algorithm that balances sample complexity and simplicity through clipped probability ratios.
by Google Research · 0 reviews
Family of convolutional neural networks that use compound scaling to uniformly scale depth, width, and resolution for efficient image classification.
by Google Research · 0 reviews
Applies transformers directly to image patches for classification; inspired many CV variants.
by Meta AI · 0 reviews
A promptable zero-shot image segmentation model trained on 1.1B masks over 11M images.