mfriendly

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

leedl-tutorial

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

PaddleNLP

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

pypdf

A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files

CodeGen

CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.

DeepKE

[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

spotlight

Deep recommender models using PyTorch.

AmpliGraph

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

pyserini

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

node2vec

Implementation of the node2vec algorithm.

pretrain-gnns

Strategies for Pre-training Graph Neural Networks

graph2vec

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

s2orc

S2ORC: The Semantic Scholar Open Research Corpus: https://www.aclweb.org/anthology/2020.acl-main.447/

pykg2vec

Python library for knowledge graph embedding and representation learning.

EvolveGCN

Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

kb

KnowBert -- Knowledge Enhanced Contextual Word Representations

recoteam

카카오 추천팀 공개 리포지토리입니다.

pytorch-NMF

A pytorch package for non-negative matrix factorization.

s2-folks

Public space for the user community of Semantic Scholar APIs to share scripts, report issues, and make suggestions.

MKGformer

[SIGIR 2022] Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion

pathpy

pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models

notebook-molecular-visualization

2D and 3D molecular visualization in Jupyter notebooks using 3DMol.js and D3.js

GP-GNN

Code and dataset of ACL2019 Paper: Graph Neural Networks with Generated Parameters for Relation Extraction.

Emgraph

A Python library for knowledge graph representation learning (graph embedding).

AnalyzeKGE

Analyzing knowledge graph embedding methods, including TransE, DistMult, CP, SimplE, ComplEx, Quaternion

context-aware-reasoning-for-sr

PyTorch implementation for our CVPR 2020 Paper "Attention-based Context Aware Reasoning for Situation Recognition"

MEIM-KGE

Including W2V, DistMult, CP, SimplE, ComplEx, RotatE, Quaternion, MEI, MEIM. Paper: MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction (IJCAI 2022).

ABot

location_embedding

use location embedding to enrich prdiction mappings

pytorch-lightning-conference-seed

Pytorch Lightning code guideline for conferences