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Discover 116 open source projects
Showing 101-116 of 116 projects
tspeterkim/flash-attention-minimal
A minimal implementation of the Flash Attention algorithm in CUDA for efficient AI model inference.
emedvedev/attention-ocr
A Python library for OCR text recognition using a CNN-based seq2seq model with visual attention, compatible with Google Cloud ML Engine.
gordicaleksa/pytorch-original-transformer
A PyTorch implementation of the original Transformer model with interactive visualizations.
richliao/textClassifier
A text classifier library that uses Hierarchical Attention Networks for document classification.
chengtan9907/OpenSTL
A comprehensive benchmark for spatio-temporal predictive learning, with a focus on AI-powered weather forecasting and video prediction.
cardwing/Codes-for-Lane-Detection
A deep learning-based library for efficient lane detection, using self-attention distillation.
citusdata/pg_shard
An unmaintained database sharding extension for PostgreSQL, superseded by the Citus distributed database.
metaskills/experts
Experts.js provides an easy way to create and deploy OpenAI assistants as modular AI agents with expanded memory and attention.
basho/rebar
rebar is an Erlang build tool that provides dependency management and other build-related functionality.
Separius/awesome-fast-attention
A curated list of efficient attention modules for building AI-powered applications with transformers.
graphdeeplearning/graphtransformer
Graph Transformer Architecture for developing graph neural networks with attention mechanisms.
DeepWism/DeepWism-R2
A next-generation AGI system that redefines intelligence as entropy reduction rather than attention modeling.
brain-research/self-attention-gan
Self-Attention GAN, a Python library for generative adversarial networks using self-attention mechanisms.
google-deepmind/neural-processes
This repository contains implementations of Neural Process variants for machine learning research.
kevinzakka/spatial-transformer-network
A Python library that implements Spatial Transformer Networks, a type of deep learning model that can learn spatial transformations.
Relaxed-System-Lab/Flash-Sparse-Attention
Efficient implementations of Native Sparse Attention, a key component in large language models.
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