389 Open source projects that are alternatives of or similar to TDRG

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

A middleware to switch fractal serializers in dingo

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

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

proc(ess)-that - easy extendable ETL tool for Node.js. Written in TypeScript.

Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop

Русскоязычный чат-бот для Discord на архитектуре Transformer

Source code for our "TitleStylist" paper at ACL 2020

Code for the CHAMPS Predicting Molecular Properties Kaggle competition

Leetcode using AI

Yet Another ETL in PHP

Basis expansion transformers in sklearn style.

Implementation of the paper Video Action Transformer Network

A data set and model for german sentiment classification.

PyTorch implementation of a collections of scalable Video Transformer Benchmarks.

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

Variational Transformers for Diverse Response Generation

KitanaQA: Adversarial training and data augmentation for neural question-answering models

SImple SenTence EmbeddeR

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

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

Official repository for "GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition" (ICIP'21)

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

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

Official implementation of MSR-GCN (ICCV2021 paper)

A simple TensorFlow implementation of the Transformer

[ICCV 2021] TRAR: Routing the Attention Spans in Transformers for Visual Question Answering -- Official Implementation

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

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

Image Captioning Using Transformer

Unofficial Implementation of Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration

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

An index of recommendation algorithms that are based on Graph Neural Networks.

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

Several basic neural machine translation models implemented by PyTorch & TensorFlow

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

JSON API transformer outputting valid (PSR-7) API Responses.

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

Official implementation of the Keyword Transformer: https://arxiv.org/abs/2104.00769

莱斯杯：全国第二届“军事智能机器阅读”挑战赛 - Rank7 解决方案

nlp lecture-notes and source code

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

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

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).

Transformer related optimization, including BERT, GPT

Continuous Augmented Positional Embeddings (CAPE) implementation for PyTorch

rxjava scheduler transformer tools for android

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

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks

Implementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention

Generate images from texts. In Russian

[ACL‘20] Highway Transformer: A Gated Transformer.

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

Jest Svelte component transformer

Further developed as SyntaxDot: https://github.com/tensordot/syntaxdot

Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021