eveliao

eveliao's Stars

• huggingface/transformers

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

  Language:Python142k1.1k16.9k28.4k

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77.5k2.7k7.3k45.7k

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript55.7k2.2k19115.9k

• chinese-poetry/chinese-poetry

  The most comprehensive database of Chinese poetry 🧶最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。

  Language:JavaScript48.9k1.2k2059.8k

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python38.9k9981.1k9.7k

• 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:Python22.8k1.3k1013.6k

• jina-ai/clip-as-service

  🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

  Language:Python12.6k2206122.1k

• codertimo/BERT-pytorch

  Google AI 2018 BERT pytorch implementation

  Language:Python6.4k125871.3k

• harvardnlp/annotated-transformer

  An annotated implementation of the Transformer paper.

  Language:Jupyter Notebook6.1k65931.3k

• facebookresearch/DrQA

  Reading Wikipedia to Answer Open-Domain Questions

  Language:Python4.5k156252894

• lixin4ever/Conference-Acceptance-Rate

  Acceptance rates for the major AI conferences

  Language:Jupyter Notebook4.4k12929306

• attardi/wikiextractor

  A tool for extracting plain text from Wikipedia dumps

  Language:Python3.8k74244975

• openai/finetune-transformer-lm

  Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

  Language:Python2.2k7342505

• allenai/bilm-tf

  Tensorflow implementation of contextualized word representations from bi-directional language models

  Language:Python1.6k67207451

• huggingface/pytorch-openai-transformer-lm

  🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

  Language:Python1.5k9039284

• brightmart/bert_language_understanding

  Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

  Language:Python9624721211

• thunlp/RCPapers

  Must-read papers on Machine Reading Comprehension

  894712172

• 26hzhang/DL-NLP-Readings

  My Reading Lists of Deep Learning and Natural Language Processing

  Language:TeX850801264

• Separius/BERT-keras

  Keras implementation of BERT with pre-trained weights

  Language:Python8142923196

• IndicoDataSolutions/finetune

  Scikit-learn style model finetuning for NLP

  Language:Python7093014080

• taivop/joke-dataset

  A dataset of 200k English plaintext jokes.

  Language:Python612174113

• ajtulloch/Elements-of-Statistical-Learning

  Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)

  Language:R290250132

• rowanz/swagaf

  Repository for paper "SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference"

  Language:Python1798340

• yicheng-w/CommonSenseMultiHopQA

  Code for EMNLP 2018 paper "Commonsense for Generative Multi-Hop Question Answering Tasks"

  Language:Python12218930

• LilianYe/some-Solutions-for-Elements-of-Elements-of-Statistical-Learning

  Language:TeX26207

• uwnlp/verbphysics

  Maxwell Forbes & Yejin Choi — ACL 2017

  Language:Python26302

• yangyiben/PCE

  Extracting Common Sense Properties from Embeddings with Limited Human Guidance

  Language:Python10302

• UKPLab/emnlp2018-argmin-commonsense-knowledge

  Accompanying code for our paper "Frame- and Entity-Based Knowledge for Common-Sense Argumentative Reasoning" at the 5th Workshop on Argument Mining @ EMNLP 2018.

  Language:Python91

• chena/common-sense

  Experimenting with default reasoning

  Language:Python4200

• GeekLiB/CommonSense

  Code for building ConceptNet from raw data.

  Language:Python120