State-of-the-Art Embeddings, Retrieval, and Reranking
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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.
- attention-mechanism
- deep-learning
- gpt
- gpt-2
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
- python
- search
- nlp
- semantic-search
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
- bert
- sentence-encoding
- deep-learning
- clip-model
Retrieval and Retrieval-augmented LLMs
- embeddings
- information-retrieval
- llm
- sentence-embeddings
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
- bert
- transformers
- topic-modeling
- sentence-embeddings
all kinds of text classification models and more with deep learning
- classification
- nlp
- fasttext
- textcnn
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
Red Ink - A one-stop Xiaohongshu image-and-text generator based on the 🍌Nano Banana Pro🍌, "One Sentence, One Image: Generate Xiaohongshu Text and Images."
- ai
- aigc
- content-generator
- social-media
Extract Keywords from sentence or Replace keywords in sentences.
- search-in-text
- keyword-extraction
- nlp
- word2vec
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Translatedtext2vec, text to vector. A text vector representation tool that converts text into vector matrices. It implements text representation and text similarity calculation models such as Word2Vec, RankBM25, Sentence-BERT, and CoSENT, and works out of the box.
- similarity
- nlp
- text-similarity
- text2vec
Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
- nlp
- sentence-embeddings
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
MTEB: State-of-the-art evaluation of embeddings across languages and modalities
- benchmark
- clustering
- information-retrieval
- sentence-transformers
Top2Vec learns jointly embedded topic, document and word vectors.
- topic-modeling
- word-embeddings
- document-embedding
- topic-vector
Large Concept Models: Language modeling in a sentence representation space
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Fast State-of-the-Art Static Embeddings
- embeddings
- machine-learning
- model2vec
- nlp
CNNs for sentence classification
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
- text-classification
- keras
- rcnn
- dcnn
jiant is an nlp toolkit
- nlp
- sentence-representation
- bert
- multitask-learning