Search Results for "python q learning" - Page 34
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Showing 1664 open source projects for "python q learning"
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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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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HydraDragonAntivirus
Open Source Antivirus/XDR for Windows operating system
Dynamic and static analysis with Real Time Malware Analysis with Antivirus for Windows, including open-source XDR (3 EDR projects), ClamAV, YARA-X, machine learning AI, behavioral analysis, Unpacker, Deobfuscator, Decompiler, website signatures, Ghidra, Suricata, Sigma, Kernel, Hypervisior based protection and much more than you can imagine. -
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GNNPCSAFT Web App
Smart Thermodynamic Modeling with Graph Neural Networks
The GNNPCSAFT Web App is an implementation of our project that focuses on using Graph Neural Networks (GNN) to estimate the pure-component parameters of the Equation of State PC-SAFT. We developed this app so the scientific community can access the model's results easily. In this app, the estimated pure-component parameters can be used to calculate thermodynamic properties and compare them with experimental data from the ThermoML Archive. More info on github repository. -
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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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NAVAL-SEM
Free offline SEM software with HTMT, bootstrapping & exports
NAVAL-SEM is a free, open-source, fully offline desktop application for Structural Equation Modeling (SEM), supporting both PLS-SEM and CB-SEM workflows. Designed for researchers, PhD scholars, professors, students, and analysts, it enables advanced quantitative research without subscriptions, cloud dependencies, or proprietary software restrictions. Key features include visual drag-and-drop model building, bootstrapping, mediation analysis, HTMT, AVE, Composite Reliability (CR),... -
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UpTrain
Your open-source LLM evaluation toolkit
Get scores for factual accuracy, context retrieval quality, guideline adherence, tonality, and many more. You can’t improve what you can’t measure. UpTrain continuously monitors your application's performance on multiple evaluation criterions and alerts you in case of any regressions with automatic root cause analysis. UpTrain enables fast and robust experimentation across multiple prompts, model providers, and custom configurations, by calculating quantitative scores for direct comparison... -
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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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Uranie
Uranie is CEA's uncertainty analysis platform, based on ROOT
Uranie is a sensitivity and uncertainty analysis plateform based on the ROOT framework (http://root.cern.ch) . It is developed at CEA, the French Atomic Energy Commission (http://www.cea.fr). It provides various tools for: - data analysis - sampling - statistical modeling - optimisation - sensitivity analysis - uncertainty analysis - running code on high performance computers - etc. Thanks to ROOT, it is easily scriptable in CINT (c++ like syntax) and Python. Is is... -
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crypto scanner v6.0.0
AI‑powered signals, risk analysis, and automated trading bot
Advanced Crypto Scanner v6.0.0 All‑in‑one Windows crypto tool – real‑time data, signals, risk analysis, AI learning, and automated trading bot. Live Data: Prices, volume, market cap (CoinMarketCap/CoinGecko), BTC dominance, market sentiment. Smart Signals: Basic (price/volume) & Advanced (RSI, MACD, Bollinger, Stochastic, ADX) with confirmation gate. Risk Rating: Low/Medium/High based on liquidity, volatility, category, technicals. Filters: Category (DeFi, AI, Gaming, NFT, Meme,... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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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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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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DeepChem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, etc
DeepChem aims to provide a high-quality open-source toolchain that democratizes the use of deep learning in drug discovery, materials science, quantum chemistry, and biology. DeepChem currently supports Python 3.7 through 3.9 and requires these packages on any condition. DeepChem has a number of "soft" requirements. If you face some errors like ImportError: This class requires XXXX, you may need to install some packages. Deepchem provides support for TensorFlow, PyTorch, JAX and each requires an individual pip Installation. ... -
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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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BashCore
A custom Debian live ISO with security tools, no GUI, only Bash.
BashCore is a Debian-based live ISO for security, networking, and learning. CLI-only, Bash-driven, lightweight, GPU-ready, with optional PREEMPT_RT kernel. Fresh environment on every boot, ideal for safe experimentation. Also available: BashCoreX (XFCE GUI) BashCoreT (Trixie CLI, Linux 6.12) BashCoreTX (Trixie XFCE) BashCoreZ (ultra-minimal CLI) BashLabOS (XFCE, daily use & privacy tools) BashCoreGee (GNOME, installable via Calamares) BourneCore (minimal illumos/OpenIndiana... -
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UtilityHub
UtilityHub is a lightweight, all-in-one desktop utility.
...Built with a focus on speed, simplicity, and a clean dark-themed interface, UtilityHub bundles multiple essential tools into a single user-friendly application. User Interface • Clean & Intuitive GUI • Dark Theme for comfortable long-duration usage • Beginner-friendly design with minimal learning curve Technology Stack • Python • Tkinter (GUI) • SQLite (Local Storage) • Pillow / PDF Libraries • Packaged as a standalone Windows EXE System Requirements • Operating System: Windows 7 / 8 / 10 / 11 • No Internet Required • No External Dependencies ________________________________________ Installation 1. Download UtilityHub.exe 2. ... -
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AS Arrow
Add and Subtract game
AS refer to Add and Sub. During the game process, the card present as Arrow. Rule: Delete all card to win. User can drag and drop card from cards library to original 6 cards. At the game start, original 6 cards look like: d -b e- a -c f User can connect d, e, f cards. Once d and e are deleted, user can connect to b. Cards are positive for a, b, c, d, e, f. And then connecting card is negative. In the similar way, the next card is positive (add/plus), and then the card is... -
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talos
Hyperparameter Optimization for TensorFlow, Keras and PyTorch
Talos radically changes the ordinary Keras, TensorFlow (tf.keras), and PyTorch workflow by fully automating hyperparameter tuning and model evaluation. Talos exposes Keras and TensorFlow (tf.keras) and PyTorch functionality entirely and there is no new syntax or templates to learn. Talos is made for data scientists and data engineers that want to remain in complete control of their TensorFlow (tf.keras) and PyTorch models, but are tired of mindless parameter hopping and confusing... -
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Kalshi-Quant-TeleBot
Kalshi Advanced Quantitative Trading Bot is an enterprise-grade
...Built with cutting-edge quantitative algorithms and professional risk management, it provides institutional-quality trading capabilities with user-friendly control The Kalshi Advanced Quantitative Trading Bot is a professional-grade automated trading system designed specifically for event-based markets on the Kalshi platform. This bot leverages advanced quantitative strategies, machine learning techniques, and real-time data analysis to identify profitable trading opportunities while maintaining robust risk management protocols. Built with a modular architecture, the system combines Python-based trading algorithms with a JavaScript Telegram bot interface for dynamic monitoring and interaction. The bot is designed to operate continuously, making data-driven decisions based on news sentiment analysis, statistical arbitrage opportunities -
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Make-A-Video - Pytorch (wip)
Implementation of Make-A-Video, new SOTA text to video generator
Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch. They combine pseudo-3d convolutions (axial convolutions) and temporal attention and show much better temporal fusion. The pseudo-3d convolutions isn't a new concept. It has been explored before in other contexts, say for protein contact prediction as "dimensional hybrid residual networks". The gist of the paper comes down to, take a SOTA text-to-image model (here they use DALL-E2, but the same learning... -
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virgosun teaching support
Mentor, code c, c++, java, go, php, swift, .. DevSecOps virtual lab, .
Menor, code c, c++, java, python, go, php, swift, .., DevSecOps virtual lab, .. This software is provided as a demonstration build. Redistribution of the binary is allowed for academic evaluation only. More previously completed projects will be released incrementally as executable packages are rebuilt for public distribution. www.youtube.com/embed/fzoISpZv5d0?rel=0 -
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Python Zero to Hero for DevOps Engineers
Learn Python from DevOps Engineer point of you
Python Zero to Hero for DevOps Engineers is a structured “Python Zero to Hero for DevOps Engineers” course laid out as a day-by-day learning path. The repository is organized into Day-01 through Day-19 folders plus a small sample app, which makes it very easy to follow in sequence like a bootcamp. The curriculum starts with Python installation, environment setup, and writing your first script, then quickly moves into data types, strings, regular expressions, variables, and functions. ... -
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AIF360
A comprehensive set of fairness metrics for datasets
This extensible open source toolkit can help you examine, report, and mitigate discrimination and bias in machine learning models throughout the AI application lifecycle. We invite you to use and improve it. The AI Fairness 360 toolkit is an extensible open-source library containing techniques developed by the research community to help detect and mitigate bias in machine learning models throughout the AI application lifecycle. AI Fairness 360 package is available in both Python and R. ... -
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Dosidicus
Tamagotchi-style digital pet with a neural network that can learn
Tamagotchi-style digital pet squid with a simple neural network https://github.com/ViciousSquid/Dosidicus/wiki Includes tools for visualising and understanding neural networks Design your own squid brain with GUI tools - watch it evolve and learn! The squid makes autonomous decisions based on current state (hunger, sleepiness, etc.). Implements a vision cone for food detection, simulating realistic foraging behavior. Hebbian learning algorithm runs every 30 seconds... -
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Burn To The Brim
Utility for efficiently grouping files and folders together
**Burn To The Brim** is a highly efficient archiving utility designed to solve the classic subset-sum (bin packing) optimization challenge. It intelligently selects and groups files and directories (documents, high-fidelity media, or raw back-ups) to optimally fill recordable Blu-Rays, USB drives or custom-capacity storage drives. By recursively scanning your designated folders, BTTB matches item sizes to your media capacity, finding a near-perfect selection in milliseconds and an...