spandanagella

spandanagella's Stars

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  308k8.8k48277.1k

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook37.7k1.2k736k

• sebastianruder/NLP-progress

  Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

  Language:Python22.7k1.3k1013.6k

• rasbt/deeplearning-models

  A collection of various deep learning architectures, models, and tips

  Language:Jupyter Notebook16.8k594304k

• pliang279/awesome-multimodal-ml

  Reading list for research topics in multimodal machine learning

  6.1k18016852

• namisan/mt-dnn

  Multi-Task Deep Neural Networks for Natural Language Understanding

  Language:Python2.2k59187412

• juand-r/entity-recognition-datasets

  A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

  Language:Python1.5k4113247

• dair-ai/nlp_paper_summaries

  ✍️ A carefully curated list of NLP paper summaries

  1.5k9325244

• nlpyang/BertSum

  Code for paper Fine-tune BERT for Extractive Summarization

  Language:Python1.5k32121424

• VKCOM/YouTokenToMe

  Unsupervised text tokenizer focused on computational efficiency

  Language:C++9592660103

• geek-ai/Texygen

  A text generation benchmarking platform

  Language:Python8634649203

• google-research-datasets/paws

  This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order information for the problem of paraphrase identification.

  Language:Python556141452

• kuanghuei/SCAN

  PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)

  Language:Python5491061113

• gidariss/FeatureLearningRotNet

  Language:Python5141424120

• 0xsanny/transformers

  A collection of resources to study Transformers in depth.

  49722062

• jiasenlu/vilbert_beta

  Language:Jupyter Notebook473156296

• lancopku/SGM

  Sequence Generation Model for Multi-label Classification (COLING 2018)

  Language:Python4331534112

• jbohnslav/opencv_transforms

  OpenCV implementation of Torchvision's image augmentations

  Language:Python377131946

• batra-mlp-lab/visdial-challenge-starter-pytorch

  Starter code in PyTorch for the Visual Dialog challenge

  Language:Python192122838

• microsoft/SDNet

  SDNet

  Language:Python185721118

• jayleicn/TVQA

  [EMNLP 2018] PyTorch code for TVQA: Localized, Compositional Video Question Answering

  Language:Python17291832

• jgc128/mednli

  MedNLI - A Natural Language Inference Dataset For The Clinical Domain

  Language:Python1258731

• j-min/Dropouts

  PyTorch Implementations of Dropout Variants

  Language:Jupyter Notebook872417

• ExplorerFreda/VSE-C

  [COLING 2018] Learning Visually-Grounded Semantics from Contrastive Adversarial Samples.

  Language:Python578252

• binga/fastai_notes

  My classnotes, experiments, reproducible notebooks from fast.ai Deep Learning Class (v2)

  Language:Jupyter Notebook365010

• TheShadow29/visual-commonsense-pytorch

  For visual commonsense model

  Language:Jupyter Notebook34412

• guillaume-chevalier/SGNN-Self-Governing-Neural-Networks-Projection-Layer

  Attempt at reproducing a SGNN's projection layer, but with word n-grams instead of skip-grams. Paper and more: http://aclweb.org/anthology/D18-1105

  Language:Jupyter Notebook23333

• Franck-Dernoncourt/naacl2016

  Data splits for the NAACL 2016 paper

  22413

• charlescearl/EquityInSentiment

  Tests of AWS and Google cloud NLP APIs

  Language:Jupyter Notebook6300

• guillaume-chevalier/SGNN-Transformer-Sentence-Model-SimilarityBXEnt

  SGNN-Transformer Sentence Model trained by the paragraph-skip-gram-like SimilarityBXENT. Also see: https://github.com/guillaume-chevalier/SGNN-Self-Governing-Neural-Networks-Projection-Layer

  Language:Jupyter Notebook3401