Showing 621-640 of 817 projects
A Python toolbox to investigate neural networks' predictions and understand model behavior.
Efficient computing methods developed by Huawei Noah's Ark Lab for model compression and optimization.
A fast, flexible, and fun neural networks library for Python developers working with AI tools.
Official repository for the Mish activation function, a novel neural network activation function.
A Pytorch-based RNN model for anomaly detection in time-series data.
A library for building multi-layer recurrent neural networks (RNNs) for word-level language models in Python using TensorFlow.
Fast CIFAR-10 training to state-of-the-art accuracy using PyTorch and a specialized CNN architecture.
High-performance neural inpainting library for filling in missing regions in high-resolution images.
A C++ library for running machine learning models on Arm hardware accelerators.
Automatic 2D-to-3D video conversion tool using convolutional neural networks.
A tutorial project for learning machine learning using the Theano library in Python.
Introductory examples and tutorials on deep generative modeling techniques like VAEs, GANs, and score-based models.
A curated collection of resources on applying Transformers to medical imaging tasks like segmentation, classification, and synthesis.
Official repository for NeuMan, a neural human radiance field model from a single video.
A PyTorch implementation of the Capsule Graph Neural Network (CapsGNN) for graph classification tasks.
A new padding scheme for convolutional neural networks using partial convolution-based padding.
An awesome PyTorch library for building NeRF (Neural Radiance Fields) models.
Convolutional neural network for analyzing pentest screenshots, useful for security researchers and penetration testers.
A comprehensive guide to learning about Graph Neural Networks (GNNs), a powerful deep learning technique for processing graph-structured data.
Exploring the capabilities of Graph Neural Networks (GNNs) with Python
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