Popular GitHub Repositories for Sentence Ranking

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

? Scalable embedding, reasoning, ranking for images and sentences with CLIP

? All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

Retrieval and Retrieval-augmented LLMs

CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

Venom is a high-performance system developed with JavaScript to create a bot for WhatsApp, support for creating any interaction, such as customer service, media sending, sentence recognition based on artificial intelligence and all types of design architecture for WhatsApp.

text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。

Torchreid: Deep learning person re-identification in PyTorch.

[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

Top2Vec learns jointly embedded topic, document and word vectors.

? Accelerate inference and training of ? Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools

Learning to Rank in TensorFlow

Efficient few-shot learning with Sentence Transformers

A curated list of pretrained sentence and word embedding models

Large Concept Models: Language modeling in a sentence representation space

Multi-Task Deep Neural Networks for Natural Language Understanding