Showing 121-140 of 141 projects
A Python project that processes and renders neural networks to gain insights on model architecture and parameters.
KubeView is a Kubernetes cluster visualization tool that provides a graphical representation of your cluster's resources and their relationships.
A language for making 3D art using mathematical functions and signed distance fields.
A TensorFlow library for learning distributed representations of code using the code2vec neural network model.
An official implementation of facial landmark detection using the Deep High-Resolution Representation Learning (HRNet) approach.
Official PyTorch implementation of a state-of-the-art virtual try-on model for high-resolution clothing generation.
Large-scale 3D scene reconstruction and novel view synthesis using Gaussian representations.
A bio-computing platform for large-scale representation learning and multi-task deep learning on molecular and biological data.
An open-source toolkit for urban spatial-temporal data mining and traffic prediction tasks.
A C++ library for 3D mapping and segmentation, potentially useful for robotics and computer vision applications.
A Java library that supports implementing representations for hypermedia-driven REST web services.
A library of recommendation algorithms based on Graph Neural Networks for information retrieval and recommendation systems.
Utilities for decoding deep representations (like sentence embeddings) back to text.
Code for reproducing key results in the paper 'InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets'
A general representation model for cross-modal learning across vision, audio, and language.
Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation.
A Python toolbox for class-incremental learning, a machine learning technique for training models on a continuous stream of data.
Strategies for pre-training graph neural networks for better performance on graph-based machine learning tasks.
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond.
A PHP library to support implementing HATEOAS representations for RESTful web services.
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