Projects sharing features with Searchly

This project is a collection of interactive Python notebooks and educational resources designed for mastering data science, machine learning, and numerical computing. It provides a series of practical guides and tutorials covering deep learning, big data processing, and statistical analysis. The repository features specialized instructional suites for implementing classical machine learning algorithms, building deep learning model architectures, and managing AWS cloud infrastructure. It includes dedicated notebooks for data visualization and numerical computing exercises. The project covers

Polaris is a music streaming application, designed to let you enjoy your music collection from any computer or mobile device.

This repository serves as a comprehensive educational resource for mastering machine learning and deep learning through a series of interactive Jupyter Notebooks. It provides a structured collection of tutorials and code examples designed to guide users through the fundamental and advanced techniques of the Python data science ecosystem. The project distinguishes itself by offering hands-on exercises that demonstrate the full lifecycle of machine learning projects. Users can explore end-to-end data pipelines, ranging from initial data loading and preprocessing to the training and deployment o

AI Radio is an radio application with an AI assistant where you can command your application play song stop the song. search the radio song by categories by commands. AI assistant commands are made with the use of Alan AI. and Radio song and category are inputed from an Radio api links. This…

This project is a community-driven knowledge repository and technical learning resource focused on the field of generative artificial intelligence. It serves as a centralized hub for developers and practitioners to access curated research, tutorials, and foundational concepts necessary for building and deploying modern artificial intelligence applications. The platform distinguishes itself through a collaborative, distributed contribution model that aggregates diverse learning materials into a structured, searchable knowledge base. It covers a wide range of specialized topics, including retri

Aim is an open-source platform for logging, visualizing, and comparing machine learning training runs and LLM traces. It provides a remote tracking server and a comparison UI, functioning as an ML experiment tracker, AI workflow logger, and LLM trace recorder that captures prompts, generations, and tool calls from AI applications. The platform distinguishes itself through a run-based data model with local SQLite storage, real-time metric streaming, and a plugin-based explorer system that supports specialized visual analysis of metrics, images, audio, and text. It offers a Python SDK with cont

🎵 Ad-free open source music app — Stream Hindi, Punjabi & more from JioSaavn & YouTube. No ads, no subscription. Free forever.

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

OpenAI API Ruby! 🤖❤️ GPT-5 & Realtime WebRTC compatible!

Machine learning platform for Web developers

A open-source flutter based app to help keep track of your repertoir!

velox-modelserver

An open source framework for research in Embodied-AI from AI2.

FinRL is a reinforcement learning framework designed for the development, training, and backtesting of automated trading strategies. It functions as a quantitative finance toolkit that integrates deep learning algorithms with financial market simulations to address complex portfolio management and asset allocation tasks. The platform provides an end-to-end pipeline for transforming raw market data into actionable trading models. The project distinguishes itself through a layered, modular architecture that separates data processing, environment simulation, and agent training. This design allow

Deep learning for Ruby

Deep learning for Ruby, powered by LibTorch

Full-stack music player app is written in flutter and dart using node.js music API. Fully Functional music player with UI like Spotify app. Added 500+ royalty-free music and information about artists. Application users can make their own playlist or collect liked songs. for backend setup here

A machine learning library for Clojure built on top of Weka and friends

Spotify Player is a terminal-based client for streaming and controlling Spotify music directly from the command line. It combines a text-based user interface with a background daemon mode, allowing users to browse their Spotify library, manage playlists, and control playback entirely through keyboard shortcuts. The application integrates with Spotify's Web API and Connect protocol, enabling remote playback control across devices while streaming audio locally without the official client. The player distinguishes itself through its plugin-based command system, which lets users define custom she

Apache Spark is a unified distributed data processing engine designed for large-scale data analysis and computation graphs. It functions as a distributed machine learning framework, a graph processing system, a real-time stream processor, and a SQL analytics engine. The system enables the execution of distributed SQL querying, large-scale graph analysis, and real-time stream analytics across clusters of machines. It also provides a scalable environment for implementing machine learning algorithms and predictive model development on massive datasets. The engine incorporates relational query e

Curated list: Resources for machine learning in Ruby

Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.)

inference and machine learning in clojure

Metric learning algorithms in Python