nimeoz Goto Github PK

acl2017

Code to train and use models from "Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings"

anchor

Code for "High-Precision Model-Agnostic Explanations" paper

annotated-semantic-relationships-datasets

Public and free annotated datasets of relationships between entities/nominals

atlas

Atlas: A Dataset and Benchmark for E-commerce Clothing Product Categorization

awesome-deep-learning-papers

The most cited deep learning papers

awesome-machine-learning-papers

📖Notes and remarks on Machine Learning related papers

awesome-network-embedding

A curated list of network embedding techniques.

bayesian-ab-test

biobert-pretrained

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

breds

Bootstrapping Relationship Extractors with Distributional Semantics

cnn-for-sentence-classification-in-keras

Convolutional Neural Networks for Sentence Classification in Keras

cnn-for-text-classification

A simple CNN implementation in Keras.

cnn-relationextraction

Convolution neural network for relation extraction between two given entities

cnn-text-classification-keras

Text Classification by Convolutional Neural Network in Keras

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

cnn_sentence

CNNs for sentence classification

cogcomp-nlp

CogComp's Natural Language Processing libraries and Demos:

coling2018

Python code for training and testing the model in the COLING 2018 paper: "Convolutional Neural Network for Universal Sentence Embeddings". This simple CNN model achieves strong performance on semantic similarity tasks in transfer learning setting, and it can also act as effective initialization for downstream tasks.

confidencerecsys2023

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

crosscbr

datasciencecoursera

datasharing

The Leek group guide to data sharing

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deeplearning4nlp-tutorial

Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)

ds_pcnns

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

evidently

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

exam

fasttext

Library for fast text representation and classification.