annding Goto Github PK

acm-cheat-sheet

Acm Cheat Sheet

adasent

A tensorflow implementation of 'Self-Adaptive Hierarchial Sentence Model'.

annding.github.io

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

azure-storage-fuse

A virtual file system adapter for Azure Blob storage

bert

TensorFlow code and pre-trained models for BERT

bilm-tf

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

bookcorpus

Crawl BookCorpus

crepe

Character-level Convolutional Networks for Text Classification

demostensorboard

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fairseq

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

finetune-transformer-lm

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

flowseq

Generative Flow based Sequence-to-Sequence Toolkit written in Python.

generative_classifier

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

jwyoung1818.github.io

lambada-dataset

lstm-char-cnn-tensorflow

in progress

lstm-lambada

machine-learning-implemetation-python

Basic Machine Learning implementation with python

ncrfpp

NCRF++, an Open-source Neural Sequence Labeling Toolkit. It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components. (code for COLING/ACL 2018 paper)

pytorch-pretrained-bert

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

qanet

A Tensorflow implementation of QANet for machine reading comprehension

rnn-text-classification-tf

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

task-oriented-dialogue-dataset-survey

A dataset survey about task-oriented dialogue, including recent datasets.

text_classification

all kinds of text classificaiton models and more with deep learning