Reverse Dependencies of catalogue

The following projects have a declared dependency on catalogue:

• ai-python — Microsoft AI Python Package
• alibi-detect — Algorithms for outlier detection, concept drift and metrics.
• argueview — ArgueView is a tool for generating text-based presentations for machine-learning predictions and feature-importance based explanation tools. The tool makes use of Toulmin's model of argumentation for structuring the text-based explanations.
• augmenty — An augmentation library based on SpaCy for joint augmentation of text and labels.
• bangla-dictionary — A Complete Bangla Dictionary PyPI Module.
• bluesearch — Blue Brain text mining toolbox for semantic search and information extraction
• bookkeywords — Library To Check Keywords Using From User Input Pre-Define Library Book Keywords.
• codeforge — no summary
• confit — Smart configuration framework
• cs-scrubadub — Clean personally identifiable information from dirty dirty text.
• curated-transformers — A PyTorch library of transformer models and components
• datacraft — Data Generation Through Specification
• deepdoctection — Repository for Document AI
• dfm-sentence-transformers — Module for finetuning dfm base-models to sentence transformers
• drop-backend — API and Command line tools for building drop
• easySum — You can easily summarize the text.
• eazyml-genai — eazyml genai
• EDS-Scikit — eds-scikit is a Python library providing tools to
• edspdf — Smart text extraction from PDF documents
• edsteva — EDS-TeVa provides a set of tools that aims at modeling the adoption over time and across space of the Electronic Health Records.
• edubotics-core — Core modules for edubotics-based LLM AI chatbots
• fasr — FASR: Fast Automatic Speech Recognition
• hammadml-gpu — Hammad Python ~ Machine Learning
• kozmo-supervisor-detect — Algorithms for outlier detection, concept drift and metrics.
• lexos — Lexos is a tool for the analysis of lexical data. The Lexos package is the Python API for the Lexos tool.
• libratom — Python library and supporting utilities to parse and process PST and mbox email sources
• llm-foundry — LLM Foundry
• magnify — A microscopy image processing toolkit.
• ml-datasets — Machine Learning dataset loaders
• mozi-ai — 墨子AI:军事人工智能领航者, developed by HSFW
• namebuster — A tool for generating common username permutations from a list of names, a file, or url, to aid with username enumeration
• neurocat — Interface Design for Neurocat's Research Engineer Test
• nlu-inference — nlu模型推理服务
• nohedidnt-py — no summary
• omdenalore — AI for Good library
• osc-llm — 大模型训练,评估,推理,部署工具
• osc-transformers — 以配置文件的形式构建transformer模型
• phenocv — Rice High Throughput Phenotyping Computer Vision Toolkit
• piicatcher — Find PII data in databases
• PrivacySherlock — A Python package for PII detection and classification
• psycop-feature-generation — no summary
• psycopmlutils — A collection of machine-learning utilities used across the psycop-projects.
• pydisconet — analyzing the co-authorship network of researchers in the field of biology
• reader-toolbox — A command-line interface for creating and interacting with Distant Reader data sets (a.k.a. study carrels)
• scikit-embeddings — Tools for training word and document embeddings in scikit-learn.
• scraper-project-rami — no summary
• scrubadub — Clean personally identifiable information from dirty dirty text.
• seb — Scandinavian Embedding Benchmark
• sense2vec — Contextually-keyed word vectors
• sentivi — A simple tool for Vietnamese Sentiment Analysis
• sitefab — State of the art static website generator for humans
• socialED — A Python Library for Social Event Detection
• spaczz — Adds fuzzy matching and additional regex matching support to spaCy.
• spec_pilot — A command-line tool for generating and managing OpenAPI specifications
• srsly — Modern high-performance serialization utilities for Python
• textacy — NLP, before and after spaCy
• thinc — A refreshing functional take on deep learning, compatible with your favorite libraries
• timeseriesflattener — A package for converting time series data from e.g. electronic health records into wide format data.
• topic-benchmark — CLI suite for benchmarking topic models
• torch-snippets — One line functions for common tasks
• xpersist — xpersist provides custom caching utility functions in Python