729 Open source projects that are alternatives of or similar to PDN

A list of data mining and machine learning papers that I implemented in 2019.

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

A collection of important graph embedding, classification and representation learning papers with implementations.

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

Smart contract vulnerability detection using graph neural network (DR-GCN).

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

Contextualised Embeddings and Language Modelling using BERT and Friends using R

Code for the paper "Are Sixteen Heads Really Better than One?"

Google AI 2018 BERT pytorch implementation

Natural Language Processing Tutorial for Deep Learning Researchers

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

Rank 1 / 216

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

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

Deep Learning Transformer models in MATLAB

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

One Person, One Model, One World: Learning Continual User Representation without Forgetting

A dockerized flask API, serving ALBERT and BERT predictions using TensorFlow 2.0.

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

Implementation, trained models and result data for the paper "Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles"

A Robustly Optimized BERT Pretraining Approach for Vietnamese

Original implementation of the paper "SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery" by Shion Honda et al.

SImple SenTence EmbeddeR

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

莱斯杯：全国第二届“军事智能机器阅读”挑战赛 - Rank7 解决方案

Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network

A graph-based deep learning framework for life science

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

Transformer-based Dual Relation Graph for Multi-label Image Recognition. ICCV 2021

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

XPersona: Evaluating Multilingual Personalized Chatbot

A reading list for deep graph learning acceleration.

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

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

End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.

text generation based on transformer

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

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

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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

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

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

Code for reproducing results in GraphMix paper

A curated list of community detection research papers with implementations.

Transformer related optimization, including BERT, GPT

All NLP you Need Here. 个人实现了一些好玩的NLP demo，目前包含13个NLP应用的pytorch实现

Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)

A paper list of research about social knowledge graph

基于tensorflow1.x的预训练模型调用，支持单机多卡、梯度累积，XLA加速，混合精度。可灵活训练、验证、预测。

A Fast Neural Machine Translation System. It is developed in C++ and resorts to NiuTensor for fast tensor APIs.

[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.

🤗 ParsBERT Persian NER Tasks

Code and Dataset for the Bhola et al. (2020) Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework

You Only Look at One Sequence (NeurIPS 2021)

A simple wrapper class for extracting features(embedding) and comparing them using BERT in TensorFlow

PyTorch Implementation for "TransPose: Keypoint localization via Transformer", ICCV 2021.

🛠️ Tools for Transformers compression using PyTorch Lightning ⚡

Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.