100+ Chinese Word Vectors 上百种预训练中文词向量
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Updated
Jan 3, 2023 - Python
100+ Chinese Word Vectors 上百种预训练中文词向量
A library for transfer learning by reusing parts of TensorFlow models.
A python library for self-supervised learning on images.
Basic Utilities for PyTorch Natural Language Processing (NLP)
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
A curated list of awesome embedding models tutorials, projects and communities.
A fast, efficient universal vector embedding utility package.
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
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
Data augmentation for NLP, presented at EMNLP 2019
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Modern columnar data format for ML implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..
Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)
Implementation of triplet loss in TensorFlow
Implementation of the node2vec algorithm.
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.
Solves basic Russian NLP tasks, API for lower level Natasha projects
A robust, all-in-one GPT3 interface for Discord. ChatGPT-style conversations, image generation, AI-moderation, custom indexes/knowledgebase, youtube summarizer, and more!
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