AI-Broad-casting - AI Broad casting with python

Last update: Jan 04, 2022

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Overview

Basic Code

1. Use The Code

Configuration Environment

conda create -n code_base python=3.6
conda activate code_base
pip install -r requirements.txt -i  https://pypi.doubanio.com/simple/
sh env.sh

Train

python train.pycd

Test

python test.py

2. Reconstruction Effect

Left: source image | Right: reconstructed image

Owner

GitHub Repository

NLP-based analysis of poor Chinese movie reviews on Douban

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17 Dec 23, 2022

AI-Broad-casting - AI Broad casting with python

Related tags

Overview

Basic Code

1. Use The Code

2. Reconstruction Effect

Owner

NLP-based analysis of poor Chinese movie reviews on Douban

MASS: Masked Sequence to Sequence Pre-training for Language Generation

MRC approach for Aspect-based Sentiment Analysis (ABSA)

KoBART model on huggingface transformers

simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.

Dope Wars game engine on StarkNet L2 roll-up

Submit issues and feature requests for our API here.

Analyse japanese ebooks using MeCab to determine the difficulty level for japanese learners

sangha, pronounced "suhng-guh", is a social networking, booking platform where students and teachers can share their practice.

PyTorch implementation of Microsoft's text-to-speech system FastSpeech 2: Fast and High-Quality End-to-End Text to Speech.

🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time

customer care chatbot made with Rasa Open Source.

YACLC - Yet Another Chinese Learner Corpus

Fully featured implementation of Routing Transformer

FedNLP: A Benchmarking Framework for Federated Learning in Natural Language Processing

Leon is an open-source personal assistant who can live on your server.

A Python wrapper for simple offline real-time dictation (speech-to-text) and speaker-recognition using Vosk.

WikiPron - a command-line tool and Python API for mining multilingual pronunciation data from Wiktionary

NLP, Machine learning

Implementation of the Hybrid Perception Block and Dual-Pruned Self-Attention block from the ITTR paper for Image to Image Translation using Transformers