Showing 1-12 of 12 projects
A PyTorch library that implements various attention mechanisms and other neural network components for visual tasks.
A fast C++/CUDA neural network framework for high-performance deep learning and rendering.
Efficient AI model backbones developed by Huawei's Noah's Ark Lab, including GhostNet, TNT, and MLP.
Official codebase for developing cutting-edge computer vision models like Vision Transformer, SigLIP, and MLP-Mixer.
A TensorFlow template application for building deep learning models and deploying them to production.
A collection of tutorials and implementations for various deep learning algorithms using TensorFlow.
PoolFormer is a vision transformer model that achieves state-of-the-art performance on image classification tasks.
A speech emotion recognition library implemented in Keras with support for CNN, LSTM, SVM, and MLP models.
A Python library that uses CLIP and MLP to predict the aesthetic score of images, useful for vibe coders.
PaddleViT is a state-of-the-art Visual Transformer and MLP model library for the PaddlePaddle 2.0+ deep learning framework.
Powerful SOTA computer vision model for various image enhancement tasks like denoising, deblurring, and more.
A comprehensive benchmark for spatio-temporal predictive learning, with a focus on AI-powered weather forecasting and video prediction.
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