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AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Stable Diffusion web UI
State-of-the-Art Text Embeddings
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
Automated Machine Learning with scikit-learn
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
A simple and efficient tool to parallelize Pandas operations on all available CPUs
Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。
An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
Provide an input CSV and a target field to predict, generate a model + code to run it.
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
Reinforced Recommendation toolkit built around pytorch 1.7
A companion repository for the "Writing code for NLP Research" Tutorial at EMNLP 2018
Implementation of a hierarchical CNN based model to detect Big Five personality traits
code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"
Deep neural models for core NLP tasks (Pytorch version)
Sentence Classifications with Neural Networks
One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques
Linguistic Inquiry and Word Count (LIWC) analyzer
Google USE (Universal Sentence Encoder) for spaCy