LiconIA Framework that uses artificial intelligence applied to mathematical models to make predictions Requirements Python 3.6 or superior (sudo apt-get install python3.6 under Linux)Python virtual environment (sudo apt-get install python3.6-venv under Linux) Development and Tests Installing the package Start by creating a new virtual environment for your project. Next, update the packages pip and setuptools to the latest version. Then install the package itself. $ sudo apt-get install python3-tk $ /usr/bin/python3.6 -m venv –prompt=”LiconIA” venv $ source venv/bin/activate (LiconIA) $ […]

sierra A lightweight Python framework for building and Integrating Web Applications. Sierra is a Python3 library for building and integrating web applications with HTML and CSS using simple enough syntax. You can develop your web applications purely in Python, taking advantage of its functionalities and integrating them to the fullest. The idea is to be able to develop a web application purely in Python, and with Flask and other frameworks, this might be a reality. Installation Method 1: pip install […]

MoniGoMani MoniGoMani aims to be more than just a conventional strategy, it’s a framework to “easily” find a profitable strategy configuration in any market! Without the need to do any programming. However, you will need to know some Technical Analysis and be able to pull your own conclusions from your test-results, this is not just an easy copy/paste. MGM (MoniGoMani) derives itself from other strategies by its use of something I called “weighted signals”. Each signal has its own weight […]

PGBM Probabilistic Gradient Boosting Machines (PGBM) is a probabilistic gradient boosting framework in Python based on PyTorch, developed by Airlab in Amsterdam. It provides the following advantages over existing frameworks: Probabilistic regression estimates instead of only point estimates. Auto-differentiation of custom loss functions. Native GPU-acceleration. It is aimed at users interested in solving large-scale tabular probabilistic regression problems, such as probabilistic time series forecasting. For more details, read our paper or check out the examples. Installation Run pip install pgbm […]

ERISHA ERISHA is a multilingual multispeaker expressive speech synthesis framework. It can transfer the expressivity to the speaker’s voice for which no expressive speech corpus is available. The term ERISHA means speech in Sanskrit. The framework of ERISHA includes various deep learning architectures such as Global Style Token (GST), Variational Autoencoder (VAE), and Gaussian Mixture Variational Autoencoder (GMVAE), and X-vectors for building prosody encoder. Currently, the library is in its initial stage of development and will be updated frequently in […]

FlowMaster A light framework for creating data streams. Setting up streams through configuration in the Yaml file. There is a schedule, task pools, concurrency limitation. Works quickly, does not require a lot of resources. Runs on Windows and Linux. Flow run in parallel via threading library. Internally SQLite Database. At the moment there are connectors to sources CSV file SQLite database Yandex Metrika Management API Yandex Metrika Stats API Yandex Metrika Logs API Yandex Direct API Yandex Direct Report API […]

threeML A framework for multi-wavelength/multi-messenger analysis for astronomy/astrophysics. Astrophysical sources are observed by different instruments at different wavelengths with an unprecedented quality. Putting all these data together to form a coherent view, however, is a very difficult task. Indeed, each instrument and data type has its own ad-hoc software and handling procedure, which present steep learning curves and do not talk to each other. The Multi-Mission Maximum Likelihood framework (3ML) provides a common high-level interface and model definition, which allows […]

PyChemia PyChemia is an open-source Python Library for materials structural search. The purpose of the initiative is to create a method agnostic framework for materials discovery and design using a variety of methods from Minima Hoping to Soft-computing based methods. PyChemia is also a library for data-mining, using several methods to discover interesting candidates among the materials already processed. The core of the library is the Structure python class, it is able to describe periodic and non-periodic structures. As the […]

Panoptic-PolarNet This is the official implementation of Panoptic-PolarNet. Panoptic-PolarNet is a fast and robust LiDAR point cloud panoptic segmentation framework. We learn both semantic segmentation and class-agnostic instance clustering in a single inference network using a polar Bird’s Eye View (BEV) representation. Predictions from the semantic and instance head are then fused through a majority voting to create the final panopticsegmentation. We test Panoptic-PolarNet on SemanticKITTI and nuScenes datasets. Experiment shows that Panoptic-PolarNet reaches state-of-the-art performances with a real-time inference […]

bolt-python A Python framework to build Slack apps in a flash with the latest platform features. Read the getting started guide and look at our code examples to learn how to build apps using Bolt. Setup # Python 3.6+ required python -m venv .venv source .venv/bin/activate pip install -U pip pip install slack_bolt Creating an app Create a Bolt for Python app by calling a constructor, which is a top-level export. If you’d prefer, you can create an async app. […]