maxdotio / mighty-batchLinks
Highly concurrent and fast content processing for Mighty Inference Server
☆10Updated 2 years ago
Alternatives and similar repositories for mighty-batch
Users that are interested in mighty-batch are comparing it to the libraries listed below
Sorting:
- hnsw implemented by python☆21Updated 6 years ago
- Neural Solr = Solr 9 + Mighty Inference + Node☆18Updated 3 years ago
- ☆29Updated 2 years ago
- Optimizing bit-level Jaccard Index and Population Counts for large-scale quantized Vector Search via Harley-Seal CSA and Lookup Tables☆21Updated 8 months ago
- Search through Facebook Research's PyTorch BigGraph Wikidata-dataset with the Weaviate vector search engine☆31Updated 4 years ago
- Tokenization across languages. Useful as preprocessing for subword tokenization.☆21Updated 2 years ago
- Documentation effort for the BookCorpus dataset☆34Updated 4 years ago
- LLM plugin for clustering embeddings☆82Updated last year
- Vespa application making an index of the CORD-19 dataset.☆40Updated 6 months ago
- ☆30Updated 3 years ago
- Finds linguistic patterns effortlessly☆39Updated 2 years ago
- utilities for loading and running text embeddings with onnx☆45Updated 5 months ago
- Library for fast text representation and classification.☆31Updated 2 years ago
- Efficient BM25 with DuckDB 🦆☆59Updated last year
- Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings☆77Updated 3 years ago
- spaCy match and replace, maintaining conjugation☆36Updated 3 years ago
- Using embeddings compressed by Product Quantization, in Javascript☆31Updated 2 years ago
- Code for SaGe subword tokenizer (EACL 2023)☆27Updated last year
- An example of how to use spaCy for extremely large files without running into memory issues☆36Updated 3 years ago
- 🤗 HuggingFace Inference Toolkit for Google Cloud Vertex AI (similar to SageMaker's Inference Toolkit, but for Vertex AI and unofficial)☆17Updated last year
- ☆82Updated 2 months ago
- 🌸 Train floret vectors☆18Updated 2 years ago
- ☆19Updated 7 years ago
- classy is a simple-to-use library for building high-performance Machine Learning models in NLP.☆87Updated 2 weeks ago
- Next-generation Punkt sentence boundary detection with zero dependencies☆27Updated 2 months ago
- ALMa (Active Learning Manager) Keeps track of labeled and unlabeled data for active learning☆43Updated 5 years ago
- Official details for: [1803.08493] Context is Everything: Finding Meaning Statistically in Semantic Spaces☆39Updated 6 years ago
- Prototyping a question and answer bot over PDFs☆39Updated 2 years ago
- Pre-train Static Word Embeddings☆94Updated 4 months ago
- Efficiently computing & storing token n-grams from large corpora☆26Updated last year