361 Open source projects that are alternatives of or similar to svelte-jest

Dense video captioning in PyTorch

Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf

Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention

Code for the paper "MASTER: Multi-Aspect Non-local Network for Scene Text Recognition" (Pattern Recognition 2021)

An implementation of DeepMind's Relational Recurrent Neural Networks in PyTorch.

This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103.04430) , accepted by MICCAI2021. 2) TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images(https://arxiv.org/abs/2201.12785).

An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"

PyTorch implementation of a collections of scalable Video Transformer Benchmarks.

PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.

⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

Java 字节操作的工具库(不是字节码的工具库)

2018-JDDC大赛第4名的解决方案

A more handy way to use SPARQL data in your web app

LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION

A middleware to switch fractal serializers in dingo

Source code for "Bi-modal Transformer for Dense Video Captioning" (BMVC 2020)

Continuous Augmented Positional Embeddings (CAPE) implementation for PyTorch

A curated list of awesome resources combining Transformers with Neural Architecture Search

Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

Serialize PHP variables, including objects, in any format. Support to unserialize it too.

Repository for Project Insight: NLP as a Service

Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging

PostHTML is a tool to transform HTML/XML with JS plugins

Transformer-based Memory Networks for Knowledge Graph Embeddings (ACL 2020) (Pytorch and Tensorflow)

A curated list of resources for Low-level Vision Tasks

Meshed-Memory Transformer for Image Captioning. CVPR 2020

Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"

Codes to pre-train Japanese T5 models

Text Simplification Model based on Encoder-Decoder (includes Transformer and Seq2Seq) model.

TianChi AIEarth Contest Solution

SImple SenTence EmbeddeR

A Robustly Optimized BERT Pretraining Approach for Vietnamese

A simple Neural Network for sentiment analysis, embedding sentences using a Transformer network.

(CVPRW 2022) Learning Co-segmentation by Segment Swapping for Retrieval and Discovery

Code for the CHAMPS Predicting Molecular Properties Kaggle competition

Code for Synchronous Bidirectional Neural Machine Translation (SB-NMT)

Web Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset.

Sequence to Sequence Models in PyTorch

LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

Build English-Vietnamese machine translation with ProtonX Transformer. :D

A simple TensorFlow implementation of the Transformer

Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"

Leetcode using AI

PyTorch implementation of some learning rate schedulers for deep learning researcher.

Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Generate images from texts. In Russian

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

Image Captioning Using Transformer

Chinese NewsTitle Generation Project by GPT2.带有超级详细注释的中文GPT2新闻标题生成项目。

[NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)

Easy to use NLP library built on PyTorch and TorchText

Variational Transformers for Diverse Response Generation

Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.

ALPR model in unconstrained scenarios for Chinese license plates

Yet Another ETL in PHP

Implementation of the paper Video Action Transformer Network

莱斯杯：全国第二届“军事智能机器阅读”挑战赛 - Rank7 解决方案

The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET