Nov 03, 2016 starforsaken's 'Tuck 2.0' build. Discussion in '2nd Gen. Builds (2005-2015)' started by starforsaken, Oct 9. He was destined to be Tuck 2.0. Tuck 1.0 was traded in that day for only $8k less than I purchased him for 10 years earlier and I was going home with a new steed.-. 21-27010-02 Toyota Tacoma Hood QuickLIFT PLUS System - Struts. West Ham 1-0 Burnley: Slaven Bilic relieved after 'important win'. in the build up. The West Ham midfielder missed just his fourth penalty of the 21 he has taken in the Premier League.

Tuck 1.0 Build 21 Inch
Tuck 1.0 Build 21 Crack
Tuck 1.0 Build 21 Free

Welcome to Tacoma World!
You are currently viewing as a guest! To get full-access, you need to register for a FREE account.
As a registered member, you’ll be able to:
- Participate in all Tacoma discussion topics
- Communicate privately with other Tacoma owners from around the world
- Post your own photos in our Members Gallery
- Access all special features of the site
Quick Links:Mike686 Build ThreadJamie's Broke College Kid BuildWile's 'The Coyote' Build (OCD edition)Nomad BuildLucario Runner's daily driver JDM build.Wife's 2012 DCSB Tacoma Sr5 Build

Discussion in '2nd Gen. Builds (2005-2015)' started by starforsaken, Oct 9, 2016.

Products Discussed in

TuckER: Tensor Factorization for Knowledge Graph Completion

This codebase contains PyTorch implementation of the paper:

TuckER: Tensor Factorization for Knowledge Graph Completion.Ivana Balažević, Carl Allen, and Timothy M. Hospedales.Empirical Methods in Natural Language Processing (EMNLP), 2019.[Paper]

TuckER: Tensor Factorization for Knowledge Graph Completion.Ivana Balažević, Carl Allen, and Timothy M. Hospedales.ICML Adaptive & Multitask Learning Workshop, 2019.[Short Paper]

Link Prediction Results

Dataset	MRR	Hits@10	Hits@3	Hits@1
FB15k	0.795	0.892	0.833	0.741
WN18	0.953	0.958	0.955	0.949
FB15k-237	0.358	0.544	0.394	0.266
WN18RR	0.470	0.526	0.482	0.443

Running a model

To run the model, execute the following command:

Available datasets are:

To reproduce the results from the paper, use the following combinations of hyperparameters with batch_size=128:

Tuck 1.0 Build 21 Inch

dataset	lr	dr	edim	rdim	input_d	hidden_d1	hidden_d2	label_smoothing
FB15k	0.003	0.99	200	200	0.2	0.2	0.3	0.
WN18	0.005	0.995	200	30	0.2	0.1	0.2	0.1
FB15k-237	0.0005	1.0	200	200	0.3	0.4	0.5	0.1
WN18RR	0.003	1.0	200	30	0.2	0.2	0.3	0.1

Requirements

Tuck 1.0 Build 21 Crack

The codebase is implemented in Python 3.6.6. Required packages are:

Citation

Tuck 1.0 Build 21 Free

If you found this codebase useful, please cite:

Welcome to Tacoma World!