9 results for “topic:neural-architectures”
Deriving Neural Architectures from Sequence and Graph Kernels
Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning
[Neurips 2022] "Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis" by Wuyang Chen*, Wei Huang*, Xinyu Gong, Boris Hanin, Zhangyang Wang
A complete convolutional neural network implemented from scratch
Course lectures including accompany Azure Notebooks for "Hands-on Data Science on Microsoft Azure"
HooHacks 2020 - Data Science Track. Powerful neural network visualization and code generation tool, written in React.
A scalable, reasoning-centric neural architecture with Mixture-of-Experts, dynamic compute allocation, and long-context modeling up to 256K tokens
A training method for neural networks that dynamically adjust the size of layers.
A behavioural operating system for human–technology interaction. Services → Solutions → Neural Matrix.