Syne Tune

Syne Tune is a Python library that provides state-of-the-art algorithms for hyperparameter optimization (HPO) with platform flexibility and minimal dependencies. It supports 20+ HPO methods, …

Keywords: hyper-parameter optimization, hyper-parameter tuning, neural architecture search, machine leaning, Bayesian optimization, Python

TabNet

The official implementation of TabNet neural network algorithm for tabular data.

Keywords: neural networks, tabular data, attention, interpretability, Python, PyTorch

TabR

Implementation of TabR retrieval-augmented tabular deep learning algorithm.

Keywords: deep learning, tabular data, PyTorch, Python

TAGNet

TAGNet is an efficient Knowledge Graph Completion (KGC) method that efficiently propagates information by aggregating paths within a fixed window, reducing the number of propagated …

Keywords: knowledge graph, graph machine learning, machine learning, Python, PyTorch

TensorFlow GNN

TensorFlow GNN is a Google library to build Graph Neural Networks on the TensorFlow platform.

Keywords: graph neural networks, GNN, machine learning, geometric deep learning, TensorFlow, Python

Tensorflow Models

The TensorFlow Model Garden is a repository with a number of different implementations of state-of-the-art (SOTA) models and modeling solutions for TensorFlow users. We aim …

Keywords: Tensorflow, models, model garder, examples

TIN

We present Temporal Interlacing Network(TIN), a simple interlacing operator. TIN performs equivalently to the regularized temporal convolution network (r-TCN), but gains 4% more accuracy with …

Keywords: TIN, Temporal Interlacing Network, PyTorch, computer vision, video analysis

TorchDrug

TorchDrug is a machine learning platform designed for drug discovery, covering techniques from graph machine learning (graph neural networks, geometric deep learning & knowledge graphs), …

Keywords: graph representation learning, drug discovery, machine learning, Python, PyTorch

TorchGeo

TorchGeo is a PyTorch domain library, similar to torchvision, providing datasets, samplers, transforms, and pre-trained models specific to geospatial data. The goal of this library …

Keywords: geospatial, remote sensing, earth observation, benchmark datasets, deep learning, PyTorch, Python

torchlayers

torchlayers is a library based on PyTorch providing automatic shape and dimensionality inference of torch.nn layers + additional building blocks featured in current SOTA architectures …

Keywords: PyTorch, layers, torchlayer, shape inference