Codes to pre-train T5 (Text-to-Text Transfer Transformer) models pre-trained on Japanese web texts.
The following is a list of models that we have published.
Apache License 2.0
Impression-Learning-Camera-Ready Camera ready code repo for the NeuRIPS 2021 paper: "Impression learning: Online representation learning with synaptic
With this package, you can generate mixed-integer linear programming (MIP) models of trained artificial neural networks (ANNs) using the rectified linear unit (ReLU) activation function. At the momen
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning This repo hosts the code for MetaXL, published at NAACL 2021. [Meta
ELSED: Enhanced Line SEgment Drawing This repository contains the source code of ELSED: Enhanced Line SEgment Drawing the fastest line segment detecto
RMGN-VITON RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on In IJCAI-ECAI 2022(short oral). [Paper] [Supplementary Material] Abstra
Object detection evaluation metrics using Python.
The Empirical Investigation of Representation Learning for Imitation (EIRLI)
[Project] [PDF] This repository contains code for our SIGGRAPH'22 paper "StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets" by Axel Sauer, Katja
heat-transfer Heat transfer problems solved using python isolation-convection.py compares the temperature distribution on the problem as shown in the
AI-OpenMic Dataset The dataset is available for download via the follwing link. Repository for code and dataset for our EMNLP 2021 paper - “So You Thi
Mish: Self Regularized Non-Monotonic Activation Function BMVC 2020 (Official Paper) Notes: (Click to expand) A considerably faster version based on CU
Marius Marius is a system under active development for training embeddings for large-scale graphs on a single machine. Training on large scale graphs
This repository contains numerical implementation for the paper Intertemporal Pricing under Reference Effects: Integrating Reference Effects and Consumer Heterogeneity.
DeLag: Detecting Latency Degradation Patterns in Service-based Systems Replication package of the work "DeLag: Detecting Latency Degradation Patterns
MADE (Multi-Adapter Dataset Experts) This repository contains the implementation of MADE (Multi-adapter dataset experts), which is described in the pa
MRS-SLAM for long-term place recognition In this work, we imply an multi-resolution sambling based visual place recognition method. This work is based
TRAnsformer Routing Networks (TRAR) This is an official implementation for ICCV 2021 paper "TRAR: Routing the Attention Spans in Transformers for Visu
ChebLieNet: Invariant spectral graph NNs turned equivariant by Riemannian geometry on Lie groups Hugo Aguettaz, Erik J. Bekkers, Michaël Defferrard We
CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration (NeurIPS 2021) PyTorch implementation of the paper: CoFiNet: Reli
Tensorflow Implementation for "Pre-trained Deep Convolution Neural Network Model With Attention for Speech Emotion Recognition" Pre-trained Deep Convo
2 Feb 09, 2022
40 Dec 27, 2022
36 Aug 17, 2022
125 Dec 31, 2022
27 Dec 01, 2022
2 Sep 06, 2022
31 Nov 06, 2022
742 Jan 04, 2023
2 Nov 14, 2021
6 Oct 26, 2022
1.2k Dec 29, 2022
107 Jan 03, 2023
6 Nov 18, 2022
2 Mar 24, 2022
68 Jul 18, 2022
6 Dec 06, 2022
49 Nov 10, 2022
12 Dec 10, 2022
76 Jan 03, 2023
5 Nov 11, 2022