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An open solution to the Data Science Bowl 2018, based on the topcoders winning solution from ods.ai. The repository was archived by the owner on Jun 22, 2022 and is now read-only. It uses PyTorch and references neptune.ml, though running it as a plain Python script is possible.
An archived, read-only GitHub repository holding an open solution to the Google AI Open Images Object Detection Track. It offers starter code, configs and notebooks, with RetinaNet training and references to the Neptune experiment platform; Neptune use is optional and the code can run as a plain Python script. The README notes the competition used Open Images Dataset V4.
An archived, read-only GitHub repository holding an open solution to the Home Credit Default Risk challenge. It provides code, configs and notebooks plus documented solutions using LightGBM, sklearn and XGBoost with engineered features; the README lists cross-validation and leaderboard scores for each. References to Neptune are optional and the solution can run as a plain Python script.
The ESCAPE Open-source Scientific Software Repository is a curated Zenodo community for sharing scientific software, services and datasets for astro-particle and particle physics communities. Submissions are reviewed for metadata, licensing and documentation, and hosted on Zenodo with persistent DOIs. A Python library supports CodeMeta metadata generation, validation and publishing automation.
The OpenAI Agents SDK is a lightweight Python package for building agentic AI applications with few abstractions. It provides primitives including agents with instructions and tools, handoffs for delegating tasks between agents, and guardrails for validating inputs and outputs. It includes built-in tracing for visualizing and debugging agentic flows. The SDK uses the Responses API by default for OpenAI models and wraps model calls in a higher-level runtime.
OpenCV is an open source computer vision library that contains over 2500 algorithms and supports model execution for machine learning and artificial intelligence. It was designed to be cross-platform, written in C with C++ and wrappers for Python and Java, and runs on desktop and mobile systems. A GPU module implemented with CUDA provides acceleration for part of the library.
OpenFace is a free and open source face recognition implementation with deep neural networks, written in Python and Torch and based on the CVPR 2015 FaceNet paper. It detects faces, aligns them, and embeds faces on a 128-dimensional unit hypersphere.
OpenRazer is a community-led effort to support Razer peripherals on Linux, consisting of a Linux kernel module, a daemon and a Python library. It exposes hardware effects, device functions such as brightness and DPI, and addressable RGB lighting, and the driver is compatible with 232 Razer peripherals.
OpenShot is a free, open-source video editor for Linux, Mac, and Windows. It provides color grading and scopes, video effects, keyframe animation, timeline editing, transitions and wipes, interactive video masks, audio visualizations, and 2D and 3D titles. The project is written with Python and PyQt5, uses a C++ backend built on FFmpeg, and is distributed under the GNU General Public License.
Gitingest converts any Git repository into a prompt-friendly text ingest for LLMs. Users can replace hub with ingest in any GitHub URL to access the corresponding digest. It provides a text digest from a repository URL or directory, with smart formatting for LLM prompts and statistics on file and directory structure, extract size and token count. It is available as a CLI tool and Python package.
OPFython is a GitHub repository offering a Python-inspired implementation of the Optimum-Path Forest classifier. The library enables classification tasks using the optimum-path forest algorithm. It includes installation instructions, quick start guides, and classifier documentation. The project is open source and welcomes contributions from the community.
Optuna is an open source automatic hyperparameter optimization software framework designed for machine learning. It provides an imperative, define-by-run style user API with eager search spaces, algorithms that prune unpromising trials, and parallelization of searches over multiple threads or processes without modifying code. It is framework agnostic and can be installed with pip on Python 3.10 or newer.
Optunity is a Python library containing various optimizers for hyperparameter tuning. It provides several approaches to solving tuning problems, including cross-validation facilities and score functions. The documentation states it is supported in R, MATLAB, GNU Octave and Java through Jython, and is free software under a BSD-style license.
Python-based meta-heuristic optimization techniques.
OverAPI.com is a site that collects all the cheat sheets. It organizes reference sheets for programming languages, frameworks, and developer tools, listing topics from Python and JavaScript to HTML, SQL, and Linux.
pagodo (Passive Google Dork) is a Python security tool that automates scraping of the Google Hacking Database and subsequent Google searches to identify potentially vulnerable web pages and applications. It replaces manual Google dork searches, consists of a dork retrieval component and a search execution component, uses the yagooglesearch library, and supports native HTTP(S) and SOCKS5 proxy support. Scraping Google Search results may violate Google's Terms of Service.
LLM Comparator is an interactive data visualization tool for evaluating and analyzing large language model responses side-by-side, developed by the PAIR team. It includes a Python library for creating JSON files and a defined JSON data format.
ParaMonte is a serial and parallel library of Monte Carlo routines for sampling mathematical density functions of arbitrary dimensions and machine learning algorithms for scientific inference. It is designed for interoperability with C, C++, Fortran, MATLAB and Python, and supports shared-memory OpenMP threads and MPI distributed communications.
Pastalog is a realtime visualization server for neural network training performance. It works with Lasagne, Keras, Tensorflow, Torch, Theano and other frameworks. Data can be logged through a Python API, a Torch wrapper, or POST requests, and logged metrics update in real time at localhost.
Pattern is a web mining module for Python with tools for data mining, natural language processing, machine learning, and network analysis and visualization. The repository is archived and no longer maintained, receiving no further updates, bug fixes or security patches.
PDF Arranger is a small python-gtk application that merges or splits PDF documents and rotates, crops and rearranges their pages through a graphical interface. It is a front end for pikepdf and a fork of PDF-Shuffler. It supports image file import if img2pdf is installed.
Pelican is a static site generator powered by Python that requires no database or server-side logic. It builds static sites from reStructuredText or Markdown content, supports themes using Jinja2 templates, generates Atom and RSS feeds, and is extensible through a plugin ecosystem.
Persepolis Download Manager is a libre and open-source download manager written in Python. It is supported on GNU/Linux, BSDs, MacOS and Windows and offers multi-segment downloading, scheduling, and download queuing. It can also find and download video from YouTube, Vimeo, and DailyMotion.
Petastorm is a library developed by Uber for deep learning model training and evaluation. It supports single-machine and distributed workflows with datasets in Apache Parquet format, is compatible with TensorFlow, PyTorch, and PySpark, and can be used via pure Python code.
