Showing 1-13 of 13 projects
A tutorial on deep learning by renowned professor Li Hongy, covering a wide range of AI and machine learning topics.
A transformer-based time series forecasting library for vibe coders using AI tools.
A Python library that implements Graph Attention Networks, a powerful neural network architecture for graph-structured data.
A PyTorch implementation of the Graph Attention Network model for developers working with AI tools.
CodeSearchNet provides datasets, tools, and benchmarks for representation learning of code, enabling AI-powered code discovery.
A powerful BERT-based language model for natural language understanding and representation learning.
CCNet is a semantic segmentation library that uses Criss-Cross Attention to improve scene parsing performance.
A collection of recent Transformer-based computer vision and related research papers.
A Python library implementing various self-attention mechanisms for computer vision tasks.
Source code for a research paper exploring the relationship between self-attention and convolutional layers.
A deep learning-based library for efficient lane detection, using self-attention distillation.
A curated list of efficient attention modules for building AI-powered applications with transformers.
Self-Attention GAN, a Python library for generative adversarial networks using self-attention mechanisms.
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