756 Open source projects that are alternatives of or similar to Meta Learning Bert

TextCNN by TensorFlow 2.0.0 ( tf.keras mainly ).

Transfer-Learning-Library

Graph Convolutional Networks for Text Classification. AAAI 2019

An implement of the paper of EDA for Chinese corpus.中文语料的EDA数据增强工具。NLP数据增强。论文阅读笔记。

Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

Natural Language Processing Best Practices & Examples

ML that can extract german and english sentiment

Sentiment Analysis with LSTMs in Tensorflow

Automated Machine Learning with scikit-learn

A Modern C++ Data Sciences Toolkit

xmnlp：提供中文分词, 词性标注, 命名体识别，情感分析，文本纠错，文本转拼音，文本摘要，偏旁部首等功能

Graph meta learning via local subgraphs (NeurIPS 2020)

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

A collection of over 1.5 Million tweets data translated to French, with their sentiment.

Predict the author's gender from their text.

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

all kinds of text classification models and more with deep learning

Domain-Adversarial Neural Network in Tensorflow

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

The Python Code Tutorials

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

Use tensorflow to achieve some NLP project, eg: classification chatbot ner attention QAetc.

SentiBridge: A Knowledge Base for Entity-Sentiment Representation

Use NLP to predict stock price movement associated with news

bert on Jigsaw Unintended Bias in Toxicity Classification

PyTorch repository for text categorization and NER experiments in Turkish and English.

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

A Benchmark of Text Classification in PyTorch

A list of Twitter datasets and related resources.

Sentimental analysis using keras in python

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..

All about Neural Networks!

POT : Python Optimal Transport

高质量中文预训练模型集合：最先进大模型、最快小模型、相似度专门模型

A dataset of datasets for learning to learn from few examples

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

Tensorflow implementations of Text Classification Models.

All kinds of neural text classifiers implemented by Keras

Dictionary based Sentiment Analysis for Japanese

Code for the Kaggle competition "Bag of Words Meets Bags of Popcorn"

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

A resource list for causality in statistics, data science and physics

Collection for Few-shot Learning

Repository with all what is necessary for sentiment analysis and related areas

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more

💫 Industrial-strength Natural Language Processing (NLP) in Python

🔮Deep Learning for text made easy with AllenNLP

Curated List: Practical Natural Language Processing done in Ruby

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Tensorflow based training and classification scripts for text, images, etc

Data augmentation for NLP, presented at EMNLP 2019

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

Tools and recipes to train deep learning models and build services for NLP tasks such as text classification, semantic search ranking and recall fetching, cross-lingual information retrieval, and question answering etc.

Tensorflow Implementation of MAML

"Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.