Search Results for "scikit-learn" - Page 22
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Showing 1969 open source projects for "scikit-learn"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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LabRPS
Random phenomena generator
...LabRPS is mainly to assist reseachers in related fields to quickly implement new simulation methods programmatically in their new research work based on the existing works, help engineers to numerically generate random phenomena in a more realistic way, helps students and new comers to this field to learn quickly. It is highly modular and is integrated with a data visualizer which can generate different types of publication quality 2D and 3D plots (such as line, scatter, bar, pie -
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REST APIs with Flask and Python
Projects and e-book for our course, REST APIs with Flask and Python
A full course to teach you how to use Flask and Python to make REST APIs using multiple Flask extensions and PostgreSQL. Learn Flask, Docker, PostgreSQL, and more. Build professional-grade REST APIs with Python. No more outdated tutorials. Use Python 3.10+ and the latest versions of every Flask extension and library. Run your apps in Docker, host your code with Git, write documentation with Swagger, and test your APIs while developing. Learn how to perform user authentication using JWTs and the Flask-JWT-Extended library. ... -
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LibHideIP - An IP-hiding library
A library for hiding the local IP address from applications.
LibHideIP is a library that on-the-fly (by preloading) prevents programs from knowing your IP address. This makes them unable to know and reveal your location, thus helping keep the user's privacy. There is NO NEED to rebuild your software, because LibHideIP is a pre-loadable library, meaning you just need to RUN the software with LibHideIP loaded. LibHideIP is also a development library. See the project homepage https://libhideip.sourceforge.io and the project Wiki in the menu above. -
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Entropy Linux
Arch based, Modern, Midweight, Practical, Experimental, AMD, Szmelc
...Optimized for AMD™, it features a global dark theme and a suite of powerful tools for advanced users. Developed by two lead devs and their squad, it’s raw, unpolished, and built for those who love to tinker, learn, and push boundaries. Why Entropy? Power & Flexibility: Designed for power users, sysadmins, and DevOps pros. Advanced Toolset: Custom utilities to boost productivity, AMD™ Optimized: Engineered for peak performance on AMD hardware. Part of a Vision: A key piece of an evolving ecosystem, connecting projects seamlessly. Entropy is a constantly evolving system—designed to be explored, tweaked, and refined. ... -
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...This open-source, AI-powered bot is a versatile tool designed to run seamlessly on both Windows and macOS platforms. It automates various tasks and accelerates decision-making processes tailored to user needs. With advanced algorithms, it can analyze complex data, learn, and provide intuitive solutions. Developed in popular languages like Python, it is fully customizable and open for community contributions and improvements. TAT (Ton Auto Trade) Bot is an advanced automated trading bot built for Ton. It is designed to employ a range of sophisticated trading strategies to maximize profits and provide hands-off trading automation. ...
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Krishnamurti's Book of Life D.Thoughts
Jiddu Krishnamurti's Book of Life|Libro de la Vida
FREE distribution of the JAVA-XML multiplatform e-book about Jiddu Krishnamurti's Book of Life (a witty daily cookie-like reflection). Ahora, lea diariamente los pensamientos de Krishnamurti en castellano- Obtenga una agenda gratis. -
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OSWorld
Benchmarking Multimodal Agents for Open-Ended Tasks
OSWorld is an open-source synthetic world environment designed for embodied AI research and multi-agent learning. It provides a richly simulated 3D world where multiple agents can interact, perform tasks, and learn complex behaviors. OSWorld emphasizes multi-modal interaction, enabling agents to process visual, auditory, and symbolic data for grounded learning in a simulated world. -
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NanoH5 (tsl2nano)
java bean / database driven zero code application framework
NanoH5 (or FullRelation) is a fullstack UI implementation framework providing a model driven design (MDA). Build a complete html5 application through a given class- or database-model without coding (coding APIs are available). -
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Interactive FFMPEG Command Generator
Create and render complex ffmpeg filtergraphs in the browser
Interactive FFMPEG Command Generator is an experimental visual tool that allows users to explore and understand FFmpeg commands and filters interactively. It provides a graphical interface for constructing FFmpeg pipelines, making it easier to learn and experiment with complex media transformations. The tool focuses on education and exploration, helping users visualize how different filters and parameters affect output. It abstracts command-line complexity while still exposing the underlying FFmpeg logic. Developers and creators can use it to prototype workflows before translating them into scripts. ... -
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GoQuorum
A permissioned implementation of Ethereum supporting data privacy
...Businesses can rely on the Quorum open-source protocol layer and integrate on top of it product modules from ConsenSys, other companies, or your own in-house development team to build high-performance, customizable applications. Our mission is the seamless adoption of blockchain technology. A trusted, open source foundation for your blockchain solution. Learn about our open source protocol layer to select the right solution for your company. Get started with project information, documentation, and quick starts. Learn how Quorum facilitates blockchain adoption for enterprises, and discover live use cases and case studies built on Quorum. Quorum Blockchain Service (QBS) is a fully managed ledger service that gives enterprises the ability to grow and operate blockchain networks at scale. ... -
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krX is a shell scripting system in LUA using Love2D, which is cross-platform and modular. It allows, among other things, file management, command execution with graphical and multimedia capabilities, thanks to the Love2D API.
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Cerberus Content Management System 6
Cerberus Content Management System
Cerberus Content Management System is a dynamic, secure and infinitely expandable CMS designed after a Unix-Like model complete with a Unix-Like Kernel File named: Cerberus. It is a custom written Web Application Framework ( W.A.F. ) with a consistent and custom written Pre-Hyper-Text-Post-Processor Programming Code Framework ( P.C.F. ). This Web Application Software Project' aim is to be the fastest and most secure Web Application Framework, Web Application Programming Code Framework, Text,... -
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PyCaret
An open-source, low-code machine learning library in Python
...In comparison with the other open-source machine learning libraries, PyCaret is an alternate low-code library that can be used to replace hundreds of lines of code with few lines only. This makes experiments exponentially fast and efficient. PyCaret is essentially a Python wrapper around several machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM, CatBoost, Optuna, Hyperopt, Ray, and few more. The design and simplicity of PyCaret are inspired by the emerging role of citizen data scientists, a term first used by Gartner. Citizen Data Scientists are power users who can perform both simple and moderately sophisticated analytical tasks that would previously have required more technical expertise. -
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Deep-Learning-Interview-Book
Interview guide for machine learning, mathematics, and deep learning
Deep-Learning-Interview-Book collects structured notes, Q&A, and concept summaries tailored to deep-learning interviews, turning scattered study into a coherent playbook. It spans the core math (linear algebra, probability, optimization) and the practitioner topics candidates actually face, like CNNs, RNNs/Transformers, attention, regularization, and training tricks. Explanations emphasize intuition first, then key formulas and common pitfalls, so you can reason through unseen questions... -
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Transformer Explainer
Learn How LLM Transformer Models Work with Interactive Visualization
Transformer Explainer is an interactive visualization tool created to help users understand how transformer-based language models operate internally. The platform runs a lightweight GPT-2 model directly in the user’s browser and allows users to experiment with text prompts while observing the model’s internal operations. Through visual diagrams and interactive interfaces, the tool reveals how tokens are processed through layers such as embeddings, attention mechanisms, and feed-forward... -
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ProbabilisticCircuits.jl
Probabilistic Circuits from the Juice library
This module provides a Julia implementation of Probabilistic Circuits (PCs), tools to learn structure and parameters of PCs from data, and tools to do tractable exact inference with them. Probabilistic Circuits provides a unifying framework for several family of tractable probabilistic models. PCs are represented as computational graphs that define a joint probability distribution as recursive mixtures (sum units) and factorizations (product units) of simpler distributions (input units). ... -
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Stipple Effect
A pixel art editor that supports animation and scripting
...It is designed to facilitate a variety of workflows and to encourage rapid, iterative creation of video game art assets and other types of artwork. Stipple Effect was made by a solo indie game developer with the needs and skill sets of other indie developers in mind. It is lightweight and simple to learn and use, yet allows for considerable depth and complexity. Stipple Effect has a feature-rich scripting API that can be harnessed for the automation of otherwise tedious and repetitive tasks. (The program can be purchased for a one-time payment at the link below. For those who do not have the means to pay for it, the program can be compiled from source for free. ... -
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MuseGAN
An AI for Music Generation
...This representation allows the neural network to capture rhythmic patterns, harmonic relationships, and structural dependencies across instruments. The architecture is based on convolutional GAN models that learn temporal musical structure and inter-track relationships from training data. The project was trained using the Lakh Pianoroll Dataset, a large collection of multitrack musical sequences derived from MIDI files. -
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Flashcard App
This is an app that will help you learn and prosper in any subject!
A lightweight but effective Flashcard based learning app to study and memorize using a reward system, built using python and the customtkinter library. Here you can create flashcards and quiz yourself on any topic you like, save the flashcards for later use or simply import one with the correct format. Give yourself hints, earn points and have fun! Play quiz with your friends see who gets the most points. Here almost anything is customizable. And forgive me if there are any bugs as there... -
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Practical Machine Learning with Python
Master the essential skills needed to recognize and solve problems
...The repository emphasizes end-to-end workflows rather than isolated code snippets, showing how to handle common challenges like class imbalance, overfitting, hyperparameter optimization, and interpretability. By leveraging popular Python libraries such as pandas, scikit-learn, XGBoost, and visualization tools, it illustrates how to build reproducible and robust solutions that scale beyond small demos. -
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OpenPipe
Turn expensive prompts into cheap fine-tuned models
OpenPipe is an open-source platform focused on improving the efficiency and performance of AI systems by transforming expensive prompt-based workflows into optimized, fine-tuned models and reinforcement-trained agents. It provides tools for training language models and agents using real-world feedback, enabling systems to learn from interactions and improve over time rather than relying solely on static prompts. One of its core components, the Agent Reinforcement Trainer, allows developers to train multi-step agents using reinforcement learning techniques such as GRPO, enhancing their ability to perform complex, sequential tasks. OpenPipe emphasizes cost reduction by enabling organizations to distill high-cost inference workflows into smaller, specialized models that can run more efficiently at scale. -
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applied-ml
Papers & tech blogs by companies sharing their work on data science
...Instead of focusing solely on theoretical ML research, this repo highlights industry-scale challenges: data collection, quality, infrastructure, feature stores, model serving, monitoring, scalability, and how ML is embedded in product workflows. It acts as a living library for practitioners who want to learn from real-world successes and failures — giving insight into how large organizations structure their data pipelines, how they manage ML lifecycle at scale, and what architectural or operational tradeoffs they made. For someone designing—or planning to build—a production ML system, this repo provides patterns, precedents, and lessons learned from firms that operate at big scale. -
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Just download the above zip file, extract it and then open the index.html file on internet browsers like Firefox ( preferable ) or Google Chrome.
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OneFile
Curates delightful open-source projects
OneFile curates delightful open-source projects that each consist of a single file, highlighting how much you can learn from compact, self-contained code. The collection spans tiny games, utilities, servers, interpreters, and teaching demos where the entire idea fits in one readable source. This “one file” constraint makes every example approachable—you can open it, grasp the full control flow, and experiment without navigating a large codebase. It’s ideal for learners seeking quick wins or for teachers looking for simple yet inspiring demos to showcase concepts. ... -
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FinGLM
Committed to building an open, public welfare
...By combining large language model architectures with financial datasets such as corporate annual reports and structured financial records, FinGLM aims to improve AI performance on tasks that require domain expertise. The repository also provides educational materials and tutorials that help developers learn how to build and fine-tune financial AI systems using the GLM model ecosystem. In addition to model development, the project promotes collaboration between researchers, companies, and developers interested in applying AI to financial analysis.
