LMM2018

LMM2018's Stars

• ethan5437/PR-VIST

  Github repository for Plot and Rework: Modeling Storylines for Visual Storytelling (ACL-IJCNLP2021 Findings)

  Language:Python204

• LSYS/LexicalRichness

  :smile_cat: :speech_balloon: A module to compute textual lexical richness (aka lexical diversity).

  Language:Python9819

• neural-dialogue-metrics/Distinct-N

  Compute Distinct-N metric proposed by Jiwei Li et al.

  Language:Python11511

• chenxran/Orion

  [NeurIPS 2021] Open Rule Induction

  Language:Python193

• google-research/bleurt

  BLEURT is a metric for Natural Language Generation based on transfer learning.

  Language:Python70985

• nlpyang/hiersumm

  Code for paper Hierarchical Transformers for Multi-Document Summarization in ACL2019

  Language:Python23142

• SamLynnEvans/Transformer

  Transformer seq2seq model, program that can build a language translator from parallel corpus

  Language:Python1.4k349

• sairin1202/Commonsense-Knowledge-Aware-Concept-Selection-For-Diverse-and-Informative-Visual-Storytelling

  The implement of Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling

  Language:Python112

• JXZe/DualVD

  Language:Python7612

• huggingface/neuralcoref

  ✨Fast Coreference Resolution in spaCy with Neural Networks

  Language:C2.9k477

• swabhs/open-sesame

  A frame-semantic parsing system based on a softmax-margin SegRNN.

  Language:Python23065

• explosion/spaCy

  💫 Industrial-strength Natural Language Processing (NLP) in Python

  Language:Python30.6k4.4k

• tkim-snu/GLACNet

  GLAC Net: GLocal Attention Cascading Network for the Visual Storytelling Challenge

  Language:Jupyter Notebook4516

• negrinho/sane_tikz

  Reconquer the canvas: beautiful Tikz figures without clunky Tikz code

  Language:Python38835

• ryankiros/neural-storyteller

  A recurrent neural network for generating little stories about images

  Language:Python3k538

• megvii-research/ML-GCN

  PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

  Language:Python1.4k350

• tkipf/gcn

  Implementation of Graph Convolutional Networks in TensorFlow

  Language:Python7.2k2k

• Maluuba/nlg-eval

  Evaluation code for various unsupervised automated metrics for Natural Language Generation.

  Language:Python1.4k225

• lichengunc/vist_eval

  vist story telling evaluation tool

  Language:Python218

• rajammanabrolu/C2PO

  Automated Storytelling via Causal, Commonsense Plot Ordering

  Language:Python508

• coder2gwy/coder2gwy

  互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

  26.8k3.7k

• leerumor/nlp_tutorial

  NLP超强入门指南，包括各任务sota模型汇总（文本分类、文本匹配、序列标注、文本生成、语言模型），以及代码、技巧

  1.8k303

• nndl/nndl.github.io

  《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

  Language:HTML17.6k3.6k

• google/sg2im

  Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018

  Language:Python1.3k232

• datawhalechina/dive-into-cv-pytorch

  动手学CV-Pytorch版

  Language:Python868181

• yuweihao/KERN

  Code for Knowledge-Embedded Routing Network for Scene Graph Generation (CVPR 2019)

  Language:Python12135

• danfeiX/scene-graph-TF-release

  "Scene Graph Generation by Iterative Message Passing" code repository

  Language:Python425129

• rowanz/neural-motifs

  Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)

  Language:Python527116

• KaihuaTang/Scene-Graph-Benchmark.pytorch

  A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”

  Language:Jupyter Notebook1.1k227

• hardikkamboj/An-Introduction-to-Statistical-Learning

  This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

  Language:Jupyter Notebook2.4k606