Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
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Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
A powerful 🚀 Android chart view / graph view library, supporting line- bar- pie- radar- bubble- and candlestick charts as well as scaling, panning and animations.
A game theoretic approach to explain the output of any machine learning model.
Performant financial charts built with HTML5 canvas
stable diffusion webui colab
AnyChart Android Chart is an amazing data visualization library for easily creating interactive charts in Android apps. It runs on API 19+ (Android 4.4) and features dozens of built-in chart types.
A 21 century R console
Daily radar for new AI terms: names of new models, products and repos, caught on X, Hugging Face, GitHub and sitemaps before keyword tools list them.
A system for assigning and grading notebooks
Owl - OCaml Scientific Computing @ https://ocaml.xyz
Run ruff, isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks
A Python Pandas implementation of technical analysis indicators
Webbased Amateur Radio Logging Software - Log your contacts from everywhere!
Beautiful and interactive visualizations for your ruby web pages powered by ApexCharts.JS. :bar_chart:
Radial Bar Chart Generator for Apple Watch -
an iOS open source Radar Chart implementation
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
JQuick-Pdf is an enterprise-grade Java PDF generation framework. It provides HTML-like declarative syntax and supports more than 30 kinds of graphs, greatly simplifying complex PDF report creation while retaining full native pdfbox(since version 4.0.0) APIs.
A customizable radar chart in Swift
Analysis of High Frequency Trading on Bitcoin exchanges
Streaming-first technical indicators with a Rust core: native Python, Node.js and WebAssembly bindings plus a C ABI hub for C, C++, C#, Go, Java and R. 514 indicators, O(1) per-tick updates, no system dependencies. Drop-in TA-Lib replacement.
Research experiments exploring uncommon quant techniques.
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.