github.com
Parris, the automated infrastructure setup tool for machine learning algorithms.
Directory
Search results
Published directory entries matching your search.
Filters
github.com
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks. Materials are organized into sections covering preprocessing, model evaluation, parameter estimation, algorithms, clustering and data visualization.
github.com
A Matlab package implementing machine learning algorithms described in the textbook Pattern Recognition and Machine Learning by C. Bishop. It is written purely in Matlab and is self-contained with no external dependency.
github.com
Perspec is a scriptable desktop app to correct the perspective of images, such as photos of whiteboards, document scans, or facades. Its integrated computer vision algorithms automatically detect document corners, which can be manually adjusted if incorrect. Corrected images can be saved in several color modes. It is also usable via a command line interface.
github.com
Pixelfed is open-source photo sharing software that lets casual shots and creative photography find an audience without algorithmic barriers. It is licensed under AGPL and built with Laravel, with ActivityPub federation and Docker-based deployment recommended for running instances.
github.com
Polyaxon is a platform for building, training, and monitoring large-scale deep learning applications. It deploys into any data center or cloud provider and supports major deep learning frameworks such as Tensorflow, MXNet, Caffe, and Torch. It manages workloads with container and node management and offers hyperparameter tuning through experiment groups defining a search algorithm and search space.
github.com
PyBroker is a Python framework for developing algorithmic trading strategies with a focus on machine learning. It provides a backtesting engine built in NumPy and accelerated with Numba, model training and backtesting using Walkforward Analysis, parameter optimization with Optuna, and access to historical data from Alpaca, Yahoo Finance, and AKShare. It supports Python 3.11+ on Windows, Mac, and Linux.
github.com
Retrieval-based-Voice-Conversion-WebUI is a project for training voice conversion models from voice data, with an easy-to-use WebUI. It includes a pymss/MSST model to separate vocals and instruments and a high-pitch voice extraction algorithm to prevent a muted sound problem. Dependencies differ by hardware, including CPU, AMD, Intel and NVIDIA GPU setups.
github.com
Basic sampling algorithms for Julia.
github.com
A tutorial project for applying machine learning in Python with scikit-learn, a Python module built on numpy and scipy. It aims to teach practical application of scikit-learn algorithms; the stated audience is experienced Python developers familiar with numpy and scipy. Prebuilt PDF and HTML versions, tutorial source and exercise solutions are available, and the material is under a Creative Commons Attribution 3.0 license.
github.com
TridUI is a lightweight desktop application that provides a user-friendly interface for TrID, a tool for scanning and analyzing files. It uses a native Go implementation of the TrID file identification algorithm and runs on Windows, macOS and Linux. Users can drag and drop files to run local scans, and the app can download and update TrID definitions automatically.
github.com
Vega is an AutoML algorithm tool chain developed by Noah's Ark Laboratory. It covers hyperparameter optimization, data augmentation, network architecture search, model compression and fully train functions, and supports PyTorch, TensorFlow and MindSpore backends.
github.com
Zipline is a Pythonic algorithmic trading library and an event-driven system for backtesting. It is described as used in production as the backtesting and live-trading engine powering Quantopian. Historical data input and performance statistics output are based on Pandas DataFrames. Zipline supports Python 2.7, 3.5 and 3.6 and may be installed via pip or conda.