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ampligraph

Python library for Representation Learning on Knowledge Graphs

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

artgan

ArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.

awesome-knowledge-graph

A collection of knowledge graph papers and reading notes.

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bert-gen

bertsum

Code for paper Fine-tune BERT for Extractive Summarization

bertviz

Tool for visualizing attention in BERT and OpenAI GPT-2

chimera

Code from the paper "Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation, to appear in NAACL-2019.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

github-slideshow

A robot powered training repository :robot:

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nlp_overview

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

nv-jm-dd

parlai

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

pplm

Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.

pytorch-biggraph

Software used for generating embeddings from large-scale graph-structured data.

pytorch-pretrained-bert

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

pytorch_handbook

pytorch_handbook

stylegan-art

train stylegan through transfer learning