356 Open source projects that are alternatives of or similar to erc

EVE bot, a customer service chatbot to enhance virtual engagement for Twitter Apple Support

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Simple transformer implementations that I can understand

KoCLIP: Korean port of OpenAI CLIP, in Flax

🌏 A zero-dependency networking solution for building modern and secure iOS, watchOS, macOS and tvOS applications.

First Prize in HackJaipur Hackathon 2020 for Best ElasticSearch-based Product! Website: http://coronaxiv2.surge.sh/#/

Source code for 1st winner of face micro-emotion competition, FG 2017.

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Utility for analyzing Transformer based representations of language.

3 networks to recognition age,gender and emotion

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The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

PyTorch code for "M³T: Multi-Modal Multi-Task Learning for Continuous Valence-Arousal Estimation"

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

code and supplementary materials for a series of Medium articles about the BERT model

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离线端阅读理解应用 QA for mobile, Android & iPhone

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Text preprocessing, representation, similarity calculation, text search and classification. Let's go and play with text!

Using pre-trained BERT models for Chinese and English NER with 🤗Transformers

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👹 Emotion recognition in Node.js

🎓 📜 This repository holds my final year and dissertation project during my time at the University of Lincoln titled 'Deep Learning for Emotion Recognition in Cartoons'.

CLUE Emotion Analysis Dataset 细粒度情感分析数据集

Implementation of the Remixer Block from the Remixer paper, in Pytorch

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🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools

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Implementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch

Proof-of-concept of emotion-targeted content delivery using machine learning and ARKit.

Pytorch Implementation of ALBERT(A Lite BERT for Self-supervised Learning of Language Representations)

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

Conversational Question Answering on Clinical Text

This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.

BERT Model Fine-tuning on Quora Questions Pairs

Wav2Vec for speech recognition, classification, and audio classification

An Easy-to-use, Modular and Prolongable package of deep-learning based Named Entity Recognition Models.

State-of-the-art NLP through transformer models in a modular design and consistent APIs.

Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019

🔮 Answering multiple choice questions with Language Models.

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Code for ANA at SemEval-2019 Task 3

This is the official implementation of TransCenter. The code and pretrained models are now available here: https://gitlab.inria.fr/yixu/TransCenter_official.

REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

NMA deep learning course

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An NLP-suite powered by deep learning

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⛔ [NOT MAINTAINED] A web interface for cdQA and other question answering systems.

文本对关系比较 - 语义相似度、字面相似度、文本蕴含等等

参考NER，基于BERT的电商评论观点挖掘和情感分析

Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"