Cast Libraries

33 Components & Libraries

Sortby

Cast Libraries

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

State-of-the-art Deep Learning library for Time Series and Sequences. If you plan to develop tsai yourself, or want to be on the cutting edge, you can use an editable install. First install PyTorch, …

Cast macOS and Linux Audio/Video to your Google Cast and Sonos Devices

This is what the system tray menu looks like: Check these images: There are two ways of installing this application: If you are using homebrew, it is possible to install the binary as follows: Addit…

Chromecast local files from Linux - supports MKV, subtitles, 5.1 sound and 4K!

This is a native Linux GUI for casting local files to Chromecast devices. It supports: Please run: After installing, log out and log back in. It will be in your launcher: You can also run it from t…

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

This book brings the fundamentals of Machine Learning to you, using tools and techniques used to solve real-world problems in Computer Vision, Natural Language Processing, and Time Series analysis. T…

The Ultimate resource hub of Python: All at one place

Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

Eland is a Python Elasticsearch client for exploring and analyzing data in Elasticsearch with a familiar Pandas-compatible API. Where possible the package uses existing Python APIs and data structur…

A Python toolbox/library for reality-centric machine learning/deep learning on partially-observed time series with PyTorch, including SOTA neural network models supporting tasks of imputation, classification, clustering, and forecasting on incomplete (irregularly-sampled) multivariate time series with NaN missing values/data.

At PyPOTS, things are related to coffee, which we're familiar with. Yes, this is a coffee universe! As you can see, there is a coffee pot in the PyPOTS logo. And what else? Please read on ;-) ☕️ Welc…

Scalable machine 🤖 learning for time series forecasting.

Store your time series in a pandas dataframe in long format, that is, each row represents an observation for a specific serie and timestamp. 280 rows × 5 columns

Python script to download Instagram livestreams.

Active development for this script has ended. Issues will no longer be looked into and no more updates will be made. This Python script enables you to download ongoing Instagram livestreams as a vide…

Time-series machine learning at scale.

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

PyAF is an Open Source Python library for Automatic Forecasting built on top of popular data science python modules: NumPy, SciPy, Pandas and scikit-learn. PyAF works as an automated process for pred…

A fast and durable Pub/Sub channel over Websockets. FastAPI + WebSockets + PubSub == ⚡ 💪 ❤️

A fast and durable Pub/Sub channel over Websockets. The easiest way to create a live publish / subscribe multi-cast over the web. Supports and tested on Python >= 3.7 The classic pub/sub pattern m…

Daily Stock Forecasts using Machine Learning & Python

Daily Stock Forecasts optimizes and ranks machine learning models to predict the intraday movement of the stock market for the top 10 US Equities by Market Cap and a number of popular indicies. Every…

🎙 A collection of awesome engineering podcasts! ARCHIVED in favor of https://github.com/rShetty/awesome-podcasts

Podcasts for programming newbies Podcasts related to C/C++ programming Podcasts related to public clouds Podcasts related to Kubernetes and the surrounding community Recordings from conference talks …

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

Qlik's advanced analytics integration provides a path to making modern data science algorithms accessible to the wider business audience. This project is an attempt to show what's possible. This repo…

The Open Outside Broadcast project for radio contribution links and studio-transmitter links.

OpenOB (Open Outside Broadcast) is a simple Python/GStreamer based application which implements a highly configurable RTP-based audio link system. It is primarily designed for broadcast applications …

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

Collection of Python notebooks for various machine learning, deep learning and analytics use cases Welcome to the GitHub tutorial directory of the relataly.com blog on business use cases with python …

The purpose of this script is to obtain videos or clips that are either marked as "sub-only" or have been deleted on Twitch.

VodRecovery is a Python script designed to access Twitch videos and clips that are either restricted to subscribers or have been deleted. Effective November 19th, 2023, the VodRecovery repository wil…

An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms

The following quote from Bergmeir et al.'s article nicely sums up the aim of this package: "When purely (non-linear, nonparametric) autoregressive methods are applied to forecasting problems, as is o…

A real-time media transport (LibOS UDP and SMPTE ST 2110) stack based on COTS hardware.

The Intel® Media Transport Library(IMTL) is a software based solution designed for high-throughput, low-latency transmission and reception of media data. It features an efficient user-space LibOS UDP…

🎧 🐈🐈🐈 Podcats generates RSS feeds for podcast episodes from local audio files and, optionally, exposes both via a built-in web server.

Podcats generates RSS feeds for podcast episodes from local audio files and, optionally, exposes both the feed and episodes via a built in web server, so that they can be conveniently imported into i…

IPv6Tools is a robust modular framework that enables the ability to visually audit an IPv6 enabled network.

The IPv6Tools framework is a robust set of modules and plugins that allow a user to audit an IPv6 enabled network. The built-in modules support enumeration of IPv6 features such as ICMPv6 and Multic…

🎧 🐈🐈🐈 Podcats generates RSS feeds for podcast episodes from local audio files and, optionally, exposes both via a built-in web server.

Time Series Data Beans: a Python toolbox loads 169 public time-series datasets for machine learning/deep learning with a single line of code.

🤝 If you need TSDB to integrate an open-source dataset or want to add it into TSDB yourself, please feel free to request for it by creating an issue or make a PR to merge your code. or install via P…

stream movies from telegram to smart tv over http using upnp and dlna (and chromecast)

A Telegram Bot to stream content on your smart TV (also Chromecast, FireTV and other UPnP device) Note: Most LG TVs with WebOS have an incorrect UPnP implementation, throw it in the trash and buy a n…

threefive is the highest rated SCTE35 parser, ever, probably, maybe. Super cool SCTE35 decoder and SCTE35 encoder.

I do a lot of releases. Anytime I fix a bug or add a feature, I bump the version and make a pip package. For best results, stay up with me. Pass in custom function Writes all packets to sys.stdout. W…

Related tags