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Published directory entries matching your search.
autoai is an open-source Python framework for automatic artificial intelligence focused on regression and classification tasks over numerical data. It automates model search, hyper-parameter tuning, and generates high-quality Jupyter Notebook code for resulting models.
AutoViz is a Python library that automatically visualizes any dataset, any size, with a single line of code. It also offers the FixDQ() function for a quick assessment of dataset quality and fixing data quality issues. The project aims to provide an automated approach to exploratory data analysis through quick and easy data visualization plus data quality, abstracting away the complexities of various plotting libraries and techniques.
BabyCommandAGI is a Python script system based on BabyAGI that is designed to test combining CLI and LLM interfaces, with the thinking part of BabyAGI greatly simplified to execute commands efficiently. The README warns that it may unintentionally destroy the environment, recommends running it in a virtual environment such as Docker, and recommends Claude 3.7 Sonnet or higher.
BambooAI is an LLM-driven data analyst tool that operates in a persistent Python kernel. It is available as a web app with Docker-isolated execution, supports user-provided model keys, and is compatible with open weights models via provider or local deployment.
ChatGPT Prompts for Data Science is a GitHub repository containing 60 useful prompts for data science tasks. It includes prompts for writing Python code, automatic machine learning, and other data science workflows.
ChefBoost is a lightweight decision tree framework for Python. It supports standard algorithms including ID3, C4.5, CART, CHAID and regression trees, as well as advanced techniques such as gradient boosting, random forest and Adaboost, with support for categorical features.
Chunk Tuner is a tool that benchmarks chunking strategies for a RAG corpus and recommends a configuration. It benchmarks strategies such as fixed-token windows, recursive character splitting, semantic splitting and PDF structural chunking, scoring each against retrieval metrics. It is available as a Python library, a CLI and an MCP server.
Cog is an open-source tool that packages machine learning models in standard, production-ready containers. Users define the environment in a configuration file, and it generates a Docker image with Nvidia base images and dependency caching. Model inputs and outputs are defined in Python, from which Cog generates an OpenAPI schema and an HTTP inference server. Models can be deployed to own infrastructure or Replicate.
Colibri Core is an NLP tool and a C++ and Python library for working with basic linguistic constructions such as n-grams and skipgrams, i.e. patterns with one or more gaps of fixed or dynamic size. It counts and extracts patterns from large corpus data. The central tool, colibri-patternmodeller, builds, views, manipulates and queries pattern models.
A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
deepface is a lightweight Python library for face recognition and facial attribute analysis. It supports analysis of age, gender, emotion, and race attributes from facial data. The project is hosted as an open source repository on GitHub.
DeepPavlov is an open-source library for deep learning end-to-end dialog systems and chatbots. Version 1.0 is described as an NLP framework built on PyTorch and transformers for modular, configuration-driven development of NLP models, intended for practitioners with limited NLP/ML knowledge. It supports Linux, Windows 10+ through WSL/WSL2, and MacOS Big Sur+ on Python 3.6 to 3.10.
Python library for scalable Bayesian optimisation.
dtreeviz is a Python library for decision tree visualization and model interpretation. It supports scikit-learn, XGBoost, Spark MLlib, LightGBM and TensorFlow, and uses an adaptor object obtained from dtreeviz.model() to extract model information for visualization.
face_recognition is a GitHub repository maintained by ageitgey that provides what is described as the world's simplest facial recognition API for Python and the command line. The repository includes documentation, installation requirements, and online demos for the tool.
FastEdit is a repository intended to help developers inject fresh and customized knowledge into large language models using one command. It supports models including GPT-J, LLaMA, LLaMA-2, BLOOM, Falcon, Baichuan, and InternLM. The implemented algorithm is Rank-One Model Editing (ROME). It requires Python 3.8+ and PyTorch 1.13.1+.
Python library for automated feature engineering.
Fuzzy Wuzzy is a Python library for fuzzy string matching. The repository was archived by its owner on Aug 26, 2024, and is now read-only. The project has been renamed and moved to TheFuzz, and pull requests and issues must be resubmitted there.
DALI is a dataset of synchronised audio, lyrics and vocal notes, presented as a collection of gz files. A Python package, dali_code, is stored in the repository for reading and working with the data; release versions are installable via pip. The dataset was created automatically using a teacher-student machine learning paradigm, described in an ISMIR 2018 paper.
GPyTorch is a Gaussian process library implemented using PyTorch, designed for creating scalable, flexible, and modular Gaussian process models. It performs most inference operations using numerical linear algebra techniques such as preconditioned conjugate gradients, and provides GPU acceleration through matrix-vector-multiplication-based inference. Installation requires Python 3.10 or later, PyTorch 2.4.1 or later, and NumPy 2.0 or later.
Gradio is an open-source Python library that enables developers to build and share machine learning web applications easily. It provides simple interfaces for creating demos and sharing models, supporting a wide range of ML frameworks.
GreatCircle is a concise collection of classes for PHP, Python, JavaScript, Ruby, and Go that calculate great circle distance, bearing, and destination from geographic coordinates, hosted in the mwgg/GreatCircle GitHub repository.
Handwriting-OCR is a project that tries to create software for recognizing handwritten text from photos, including Czech language, using computer vision and machine learning. Recognition is divided into four steps, from page detection through word separation and normalization to character recognition. It is written in Python 3.6 with Jupyter Notebook, and the repository was archived by its owner.
Haystack is an open-source AI orchestration framework for building production-ready LLM applications in Python. It provides modular pipelines and agent workflows with explicit control over retrieval, routing, memory and generation, and is intended for RAG systems, multimodal applications, semantic search, question answering and autonomous agents. Installation is available via pip.
