Different types of word embedding for text processing

Pre-trained Image Classifier to Identify Dog Breeds

IndoELECTRA: Pre-Trained Language Model for Indonesian Language Understanding

Implementation of a neural network for solving the problem of mushroom classification based on the TensorFlow library and the pre-trained efficientnet/b0 model.

Identification of Species of Medicinal Leaves using a pre-trained CNN model

A CNN classifier using Keras and data augmentation, and comparison with pre-trained networks

Pre-trained word embeddings for Romanian and Romanian list of inflected forms

Dataset and code for "Label-Wise Document Pre-Training for Multi-Label Text Classification" (NLPCC 2020)

Text Mining develops methods for accessing information in and extracting knowledge from large volumes of text. The purpose of this repository is to research on classification of fake/real news on a dataset obtained from kaggle

Played with Tensorspace a library for Neural network 3D visualization, building interactive and intuitive models in browsers, supports pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

Earth observations, especially satellite data, have produced a wealth of methods and results in meeting global challenges, often presented in unstructured texts such as papers or reports. Accurate extraction of satellite and instrument entities from these unstructured texts can help to link and reuse Earth observation resources.

Including pre-trained language models for fine-tuning on other NLP tasks

OpenAIA Documentation

Tensorflow Keras based pre-trained model to predict gender and ethnicity of Indian Names using Python

Materials for Sentiment Analysis with Python in "Taller en Data Science" by UCOM

Pre-train Embedding in LightFM Recommender System Framework

EMNLP 2020 GigaBERT Arabic Relation extraction system, named entity recognition, IE