AI Models
Gemma is a collection of lightweight, open models built from the same technology that powers Gemini models. It enables developers to create AI applications for various platforms,…
Best Machine Learning Platforms AI Models
21 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 21 AI Models spanning AI Models & LLMs, Other AI Tools, Scientific Discovery & Lab Tools, AI Image Generators and Computer Vision Tools and more.
21 tools
Amazon Nova is a suite of foundation models and services designed for enterprise-scale applications, offering high performance and multimodal capabilities. It enables…
AI Models
This GitHub repository provides an example implementation of Deep Convolutional Generative Adversarial Networks (DCGAN) using PyTorch. It allows users to train models on datasets…
This framework introduces a novel active learning method for enriching large 3D shape datasets with semantic region annotations. It efficiently combines manual annotation,…
AI Models
ULMFiT is a powerful technique for fine-tuning pre-trained language models. It enables efficient transfer learning for text classification tasks, achieving state-of-the-art…
AI Models
This repository provides an implementation of Principal Neighbourhood Aggregation (PNA) for Graph Neural Networks. It supports PyTorch, DGL, and PyTorch Geometric frameworks,…
AI Models
This GitHub repository provides PyTorch implementations for DeepGCNs, DeeperGCN, and GNN1000. It enables training very deep Graph Convolutional Networks by adapting concepts from…
AI Models
ESPnet is an open-source toolkit for end-to-end speech processing. It provides comprehensive recipes and tools for tasks like Automatic Speech Recognition (ASR), Text-to-Speech…
AI Models
A Hidden Markov Model (HMM) is a statistical model where observations depend on an unobservable Markov process. It's used to infer hidden states from observed data, finding…
AI Models
An autoencoder is a type of neural network designed for unsupervised learning, focusing on learning efficient data encodings. It comprises an encoder that compresses data into a…
AI Models
node2vec is a scalable framework for learning continuous feature representations of nodes in graphs. It optimizes neighborhood preservation through biased random walks, enabling…
This repository provides the official code implementation for the research paper "How Attentive are Graph Attention Networks?" published at ICLR'2022. It offers reproducible…
AI Models
SEAL is a novel framework for link prediction that transforms the problem into a subgraph classification task. It extracts h-hop enclosing subgraphs and node information matrices,…
AI Models
GraphSAINT is a flexible framework for training deep Graph Neural Networks (GNNs) on large graphs. It introduces a novel minibatch training method using graph sampling, offering…
AI Models
PyTorch implementation of the TabNet paper, offering an attentive and interpretable approach to tabular data learning. It supports classification, regression, and multi-task…
AI Models
Neural Oblivious Decision Ensembles (NODE) is a Python library for deep learning on tabular data. It implements ensembles of oblivious, differentiable decision trees, offering a…
AI Models
This repository provides the official PyTorch implementation of the SAINT model, designed for improved neural networks on tabular data. It leverages row attention and contrastive…
AI Models
The BAAI Models platform offers a diverse collection of AI models for natural language processing, multimodal understanding, and protein analysis. Explore and download models for…
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…
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
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,…
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