AI Models
This repository provides a PyTorch implementation of the "Simple and Deep Graph Convolutional Networks" (GCNII) model. It includes code for replicating semi-supervised and…
Best AI Models
324 toolsDiscover the best AI Models — from language transformers like DistilGPT2 and Claude Opus to advanced systems such as GPT-5.6: Frontier intelligence and Gemini 3.1 Pro by Google DeepMind, this is where developers and researchers explore tools that enhance their projects: generating human-like text, building conversational agents, developing complex algorithms, and pushing the boundaries of AI capabilities. Browse 324 AI Models spanning AI Models & LLMs, Other AI Tools, Machine Learning Platforms, Scientific Discovery & Lab Tools and AI Image Generators and more.
324 tools
AI Models
This GitHub repository provides TensorFlow and PyTorch implementations for the PPNP and APPNP models, introduced in the "Predict then Propagate: Graph Neural Networks meet…
This repository provides the official implementation for the "Simplifying Graph Convolutional Networks" paper. It offers a streamlined Graph Convolutional Network (GCN) model that…
AI Models
Graph Neural PDEs is an open-source project providing Python code for Graph Neural Networks (GNNs) that treat graph learning as a continuous diffusion process. It implements GRAND…
AI Models
This blog post introduces a new PyTorch Hopfield layer based on modern Hopfield Networks. It generalizes classical Hopfield Networks to continuous states and patterns, offering…
AI Models
A self-organizing map (SOM) is an unsupervised machine learning technique that reduces data dimensionality while preserving topological structure. It creates a low-dimensional…
AI Models
A radial basis function network is an artificial neural network utilizing radial basis functions as activation functions. It's adept at function approximation, time series…
AI Models
A Bayesian network is a probabilistic graphical model representing variables and their conditional dependencies using a directed acyclic graph. It's ideal for predicting the…
AI Models
Markov Random Fields (MRFs) are undirected graphical models representing probabilistic relationships between random variables. They are crucial in AI for modeling dependencies in…
AI Models
The Autonomous and Intelligent Systems group at UCF's Computer Science department focuses on AI research. Their website, eplex.cs.ucf.edu, appears to be a portal for this…
AI Models
OpenSpiel is a comprehensive framework for reinforcement learning research in games. It offers a collection of environments and algorithms for developing and testing general AI…
AI Models
SAGPool is an official PyTorch implementation of Self-Attention Graph Pooling, presented at ICML 2019. This read-only, archived repository provides the code for a novel graph…
Scikit-learn's semi-supervised learning module enables models to leverage unlabeled data alongside labeled data for improved generalization. It offers algorithms like Self…
AI Models
Temporal Graph Networks (TGNs) offer a generic, efficient framework for deep learning on dynamic graphs. This Python-based library utilizes novel memory modules and graph-based…
AI Models
EvolveGCN provides code for Evolving Graph Convolutional Networks designed for dynamic graphs. This AI model, published in AAAI 2020, offers a framework for analyzing and modeling…
AI Models
xDeepFM is an open-source deep learning toolkit for factorization models, specifically releasing the source code for the eXtreme Deep Factorization Machine (xDeepFM) model. It…
AI Models
This GitHub repository provides a TensorFlow implementation of the Attentional Factorization Machine (AFM) model. It allows users to train and evaluate AFM for tasks like…
AI Models
TensorFlow Models is a GitHub repository offering a collection of models and examples built with TensorFlow. It serves as a central hub for developers to access, contribute to,…
AI Models
LightGCN is a simplified Graph Convolutional Network designed for recommendation systems. It focuses on the essential neighborhood aggregation component for collaborative…
AI Models
Neural Graph Collaborative Filtering (NGCF) is a recommendation framework leveraging graph neural networks. It explicitly encodes collaborative signals through high-order…
AI Models
This AI model introduces Poincaré embeddings for learning hierarchical representations of symbolic data. It embeds data into hyperbolic space, capturing both hierarchy and…
AI Models
Falcon LLM is a generative large language model designed to advance applications and use cases, making advanced AI accessible and impactful across various industries and…
AI Models
Claude Fable 5 is a cutting-edge AI model designed for complex, long-running tasks in coding and knowledge work. It offers advanced capabilities with robust safeguards for…
AI Models
Veo 3.1 by Google DeepMind is a leading video generation model offering enhanced realism, creative control, and prompt-following capabilities. It supports text-to-video,…
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