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tm-gcn

Pytorch code for TM-GCN, a Dynamic Graph Convolutional Networks Using the Tensor M-Product

topictiling

TopicTiling is a text segmentation method that is based on LDA

topsbm

Scikit-learn compatible Topic Modelling with Hierarchical Statistical Block Models (Gerlach, Peixoto and Altmann, 2018)

torchkge

TorchKGE: Knowledge Graph embedding in Python and PyTorch.

toruse

TorusE

tradernet-crv2

TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets

trans-implementation

Implement of TransE, TransH, KG2E with pytorch

transat

transcoder

Public release of the TransCoder research project https://arxiv.org/pdf/2006.03511.pdf

transedge

TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs, ISWC 2019

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

translate

Translate - a PyTorch Language Library

trax

Trax — Deep Learning with Clear Code and Speed

triple-anet

[MICCAI'19] Triple ANet: Adaptive Abnormal-aware Attention Network for WCE Image Classification

triple2vec-learning-triple-embeddings-from-knowledge-graphs

https://arxiv.org/pdf/1905.11691.pdf

twins

Two simple and effective designs of vision transformer, which is on par with the Swin transformer

u-time

U-Time: A Fully Convolutional Network for Time Series Segmentation

u2gnn

Transformer for Graph Classification

umal

Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians

umls-embeddings

Adversarial Learning of Knowledge Embeddings for the Unified Medical Language System

unsupervisedscalablerepresentationlearningtimeseries

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

using-deep-learning-neural-networks-and-candlestick-chart-representation-to-predict-stock-market

variational-recurrent-models

Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICLR 2020 (https://openreview.net/forum?id=r1lL4a4tDB)

varibad

Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)

vsmhn

wavetorch

🌊 Numerically solving and backpropagating through the wave equation

wltls

www20-higher-order

yawn

Yawn (Yet Another {Weird | Wacky | Witty | Wonderful | W*} Network) is a Java™ framework for training and testing neural networks independently from the neural model and the test environment being used.

zlib-searcher

search zlib/libgen index to get ipfs_cid.