Search Results for "python q learning" - Page 26
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Showing 1440 open source projects for "python q learning"
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Hack Instagram Account with AI
AI-driven Instagram account security hacking
Hack Instagram Password - AI-Powered Tool This application was made using the API of PASS REVELATOR, for more information about Instagram hacking account and security, please visit their website: https://www.passwordrevelator.net/en/passdecryptor Advanced machine learning tool for Instagram password security assessment. Features AI-driven brute force attacks, pattern recognition, and neural network prediction. KEY FEATURES: • AI-Powered Password Generation - Machine learning instead of wordlists • Neural Network Prediction - Simulated neural networks for smart guessing • Context-Aware Attacks - Analyzes usernames for intelligent variations • Multi-Phase AI Strategy - Progressive techniques from simple to complex • Advanced Anonymity - Tor integration and proxy rotation • Real-time Monitoring - Performance metrics and success rates TECHNICAL SPECIFICATIONS: • Python 3.8+ required • Advanced machine learning algorithms -
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Auto_Img_Renamer
AutoimgRenamer is a Python tool to rename image files in a folder.
AutoimgRenamer is a lightweight Python tool that automatically renames all image files in a selected folder using a specified base name and an incremental index. It’s especially useful for organizing datasets, preparing files for machine learning, or batch-renaming personal image collections. Features 1. Rename .jpg, .jpeg, .png, .gif, .bmp, and .webp images 2. Simple, fast, and efficient 3. -
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HydraDragonAntivirus
Dynamic and static analysis with Sandboxie for Windows, including EDR
Dynamic and static analysis with Sandboxie for Windows, including EDR, ClamAV, YARA-X, custom machine learning AI, behavioral analysis, NLP-based detection, website signatures, Ghidra, Suricata, Sigma, and much more than you can imagine -
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DeepKE
An Open Toolkit for Knowledge Graph Extraction and Construction
Supporting cnSchema, standard supervised setting, low-resource setting, document-level setting and multi-modal setting for knowledge base population. DeepKE is a knowledge extraction toolkit supporting cnSchema, standard supervised, low-resource, and document-level scenarios for entity, relation, and attribution extraction. It allows developers and researchers to customize datasets and models to extract information from unstructured texts. DeepKE supports low-resource settings with only a... -
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Lightning-Hydra-Template
PyTorch Lightning + Hydra. A very user-friendly template
Convenient all-in-one technology stack for deep learning prototyping - allows you to rapidly iterate over new models, datasets and tasks on different hardware accelerators like CPUs, multi-GPUs or TPUs. A collection of best practices for efficient workflow and reproducibility. Thoroughly commented - you can use this repo as a reference and educational resource. Not fitted for data engineering - the template configuration setup is not designed for building data processing pipelines that... -
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CodeCampusOS
Custom Ubuntu OS for beginners with dev tools & learning guides
code_compus_os is a custom Linux distribution built on top of Ubuntu 24, designed for beginner developers, students, and learners in Computer Science & Engineering (CSE) and IT programs. It provides a ready-to-use environment with pre-installed developer tools, educational software, and accessibility enhancements. This OS makes it easy for students and beginners to start coding, run projects, and learn programming without manual setup. Step-by-step guides and tutorials are included... -
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...It allows to load two, three and four-dimensional images of both techniques and in the case of 3D images it allows the simultaneous visualization of the three orthogonal planes which facilitates the localization of the regions of interest. It has been developed in Python with a user-friendly interface for healthcare personnel. Thanks to Artificial Intelligence and deep learning methods, MELAGE has tools to estimate volumes of different regions of interest in both images. Moreover, it allows to perform linear, area and volumetric measurements in a very intuitive and easy way, being able to instantly see the segmented region in a new tab. ...
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FeAture Explorer (FAE), a radiomics (or medical analysis) tool that helps radiologists extract features, preprocess feature matrix, develop machine learning models (Binary Classification & Survival Analysis) with one-click, and evaluate models qualitatively and quantitatively. This project was inspired on the Radiomics, and provides a GUI with convenient process. FAE was initially developed by East China Normal University and Siemens Healthineers Ltd. If FAE could help in your project, We...
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Personal Budget Tracker
Personal Budget Tracker — Simple Expense Logger
Personal Budget Tracker is a minimal yet functional CLI tool to help users manage their income and expenses. It supports categorization, listing, and CSV export. Great for learning Python or organizing your personal finances. -
HOA SoftwareSimplify HOA management with software that handles everything from financials to communication.
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SynaptaOS
Synapta OS is a preconfigured educational Linux distribution with AI
🌐 Synapta OS Synapta OS is an educational Linux distribution preconfigured with local Artificial Intelligence (AI) capabilities. It is designed for schools and remote areas where Internet connectivity is limited or unavailable, offering access to AI-based learning and digital tools offline. Version 1.4.6 -
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GNNePCSAFT
Smart Thermodynamic Modeling with Graph Neural Networks
Our project harnesses the power of Graph Neural Network (GNN) to estimate pure-component parameters of the state-of-the-art Equation of State, PC-SAFT. We aim to empower users to leverage this robust equation without the need for prior experimental data, revolutionizing the calculation of thermodynamic properties and enhancing process simulations. FeOS is used for the PC-SAFT calculations. The estimated parameters can be used in DWSIM and Aspen HYSYS process simulators. -
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AnyTrading
The most simple, flexible, and comprehensive OpenAI Gym trading
gym-anytrading is an OpenAI Gym-compatible environment designed for developing and testing reinforcement learning algorithms on trading strategies. It simulates trading environments for financial markets, including stocks and forex. -
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Summarize from Feedback
Code for "Learning to summarize from human feedback"
The summarize-from-feedback repository implements the methods from the paper “Learning to Summarize from Human Feedback”. Its purpose is to train a summarization model that better aligns with human preferences by first collecting human feedback (comparisons between summaries) to train a reward model, and then fine-tuning a policy (summarizer) to maximize that learned reward. The code includes different stages: a supervised baseline (i.e. standard summarization training), the reward modeling... -
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EarQuiz Frequencies
Software for technical ear training on equalization
EarQuiz Frequencies is a software for ear training on equalization. Its goal is to help musicians, audio professionals, hobbyists and students learn how to hear frequency bands. Available for Windows 10, 11 (x64), macOS 11 or higher (both for Intel and Apple Silicon) and Linux. This application is based on (and deeply inspired by) the world-renowned Golden Ears method of David Moulton, whose course is half dedicated to building this essential critical listening skill. The overall... -
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SMILI
Scientific Visualisation Made Easy
The Simple Medical Imaging Library Interface (SMILI), pronounced 'smilie', is an open-source, light-weight and easy-to-use medical imaging viewer and library for all major operating systems. The main sMILX application features for viewing n-D images, vector images, DICOMs, anonymizing, shape analysis and models/surfaces with easy drag and drop functions. It also features a number of standard processing algorithms for smoothing, thresholding, masking etc. images and models, both with... -
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translate-gui
GUI for translate-shell, the cli tool for quick translation
GUI for the translate-shell, aims to be easy to use translator and a helpful tool for learning new languages. Most tools do a one way translation from source to target language, do to the reverse involves choosing the source and target languages again. This tool can do a 2 way translation accompanied by speech output of the target language text. Hence it can prove to be an indispensable aid when learning new languages -
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PoseidonQ - AI/ML Based QSAR Modeling
ML based QSAR Modelling And Translation of Model to Deployable WebApps
- This Software was made with an intention to make QSAR building more efficient and reproducible. - Published in ACS, Journal of Chemical Information and Modeling . Link : https://pubs.acs.org/doi/10.1021/acs.jcim.4c02372 - Simple to use and no compromise on essential features necessary to make reliable QSAR models. - From Generating Reliable ML Based QSAR Models to Developing Your Own QSAR WebApp. For any feedback or queries, contact kabeermuzammil614@gmail.com - Available on Windows... -
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Zylthra
Zylthra: A PyQt6 app to generate synthetic datasets with DataLLM.
Welcome to Zylthra, a powerful Python-based desktop application built with PyQt6, designed to generate synthetic datasets using the DataLLM API from data.mostly.ai. This tool allows users to create custom datasets by defining columns, configuring generation parameters, and saving setups for reuse, all within a sleek, dark-themed interface. -
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Astrape
Optical-packet node transceiver frequency allocation
In an optical network scenario which consists of multiple nodes (whiteboxes) at its edges and ROADMs in-between, the coherent transceiver average laser configuration time is improved. The process is evaluated according to a testbed setup. This is facilitated in the appropriate lab equipment (or via simulation when required). For that purpose, a software agent (Netconf server) residing at the whiteboxes, is developed receiving input from the Software-Defined Networking (SDN) packet... -
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Forget about sleepless nights over textbooks! Solver is an application that solves equations quickly and easily. • Solve equations of any type — from linear to the fourth degree. • Save time and effort — you won't have to learn anything else. • Import and export data — work with equations from files and save solutions in the desired format. Don't miss the chance to make learning math simple and effective!
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pipeless
A computer vision framework to create and deploy apps in minutes
Pipeless is an open-source computer vision framework to create and deploy applications without the complexity of building and maintaining multimedia pipelines. It ships everything you need to create and deploy efficient computer vision applications that work in real-time in just minutes. Pipeless is inspired by modern serverless technologies. It provides the development experience of serverless frameworks applied to computer vision. You provide some functions that are executed for new... -
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FinGPT
Open-Source Financial Large Language Models!
FinGPT is an open-source large language model tailored specifically for financial tasks. Developed by AI4Finance Foundation, it is designed to assist with various financial applications, such as forecasting, financial sentiment analysis, and portfolio management. FinGPT has been trained on a diverse range of financial datasets, making it a powerful tool for finance professionals looking to leverage AI for data-driven decision-making. The model is freely available on platforms like Hugging... -
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DataPrep
Python-based data preprocessing tool
DataPrep v0.2 is a Tkinter-based GUI application/tool designed to assist users in data preprocessing, multicollinearity removal, and feature selection for a wide range of applications in Cheminformatics, Bioinformatics, Data Analysis, Feature Selection, Molecular Modeling, Machine Learning, and Quantitative-structure-property relationship (QSPR) studies. It includes functionality to load, process, and save datasets with support for different preprocessing & multicollinearity removal... -
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GemDash
Gem Dash aka Boulder or Dyna Blaster like 8-bit style game in Python
A Gem Dash is motivated from specific 8-bit games. Since it's my first code in Python, the old template gave me a good code basis to understand how to build game logic, use PyGame and create something that will work and I can finish. I can add even more game mechanics and changes. *_win include .exe (executable) *_mac include .app (in dmg, works independent) Requirements: - Python 3.13.2 or newer - Pygame 2.6.1 or newer ( terminal: pip install pygame ) Objective And Rules Of The Game: - Collect all the diamonds to open the exit to go to the next level... -
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Medusa
Framework for Accelerating LLM Generation with Multiple Decoding Heads
Medusa is a framework aimed at accelerating the generation capabilities of Large Language Models (LLMs) by employing multiple decoding heads. This approach allows for parallel processing during text generation, significantly enhancing throughput and reducing response times. Medusa is designed to be simple to implement and integrates with existing LLM infrastructures, making it a practical solution for scaling LLM applications.
