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machine learning

MOHAMED.COM

🤖 AI browser extensions & userscripts to augment your web experience

Sashimi - study the organisation and evolution of corpora

Alex4M9_ARMG0268XZ59

My personal portfolio, website, shop, platform everything in one.

aktivasi microsoft dalam pengembangan LTS maupun windows worit globally aktifa pengembang program monoton publik presisi google dan komersil dan membuat ide dalam intrukstuk praktik https://github.com/cyber-vivo-w1ry4/Topics-Unity-/forks https://github.com/cyber-vivo-w1ry4/mirosoft-Botnet/forks https://github.com/cyber-vivo-w1ry4/cpp/forks https://github.com/cyber-vivo-w1ry4/python/forks https://github.com/cyber-vivo-w1ry4/Google-Antigrafity https://github.com/cyber-vivo-w1ry4/CyberSecurity/forks https://github.com/cyber-vivo-w1ry4/Topics-windows-/forks https://github.com/cyber-vivo-w1ry4/cyberw1ry4-LAB/forks

Trading Bot – Algorithmic Crypto Trading with AI Integration

This project is a powerful algorithmic trading bot for cryptocurrency markets. It combines traditional technical analysis with modern machine learning to generate accurate and intelligent trading decisions.

Key Features:

Candlestick Pattern Detection: Identifies classic reversal patterns such as Hammer, Doji, Engulfing, Shooting Star, and complex formations like triangle patterns.

Technical Indicators: Includes standard indicators (RSI, MACD, Moving Averages, Bollinger Bands) and advanced tools like Ichimoku Clouds, SuperTrend, Fibonacci Retracements, and more.

Machine Learning Integration: Uses LSTM-based models for time-series forecasting and momentum strategies, combined with indicator signals through weighted evaluation.

Dynamic Signal Weighting: Customizable signal weighting for patterns, indicators, and ML predictions with automatic adjustments to market volatility.

Trade Execution Engine: Supports long/short positions with stop-loss, take-profit, and trailing stop features. Automatically includes fees and tax deductions in profit calculations.

Backtesting & Debugging: Simulates strategies on historical data with detailed equity/value curve visualization and comprehensive debug logs.

Robust Error Handling: Detects and logs data inconsistencies, index errors, and processing issues to ensure stability.

Modular architecture with key components such as TraderBot, SignalHandler, PatternManager, IndicatorManager, MLModelHandler, SequenceManager, DataAPI, and CryptoCurrency. Additional support provided by PatternCalculator, IndicatorCalculator, and DataProcessing.

Version: V1.3.0.0 | GUI: V1.0.0 Author: Marian Seeger – info@seegersoftwaredevelopment.de

∞ Generate endless answers from all-knowing ChatGPT (on any topic!)

WP MUSIC ni jukwaa la ubunifu na burudani linaloongozwa na MWANZWA D.O.P, muandaaji wa filamu, mkurugenzi wa video, mhariri wa video, na mtayarishaji wa maudhui mbalimbali ikiwemo filamu, video za muziki, tamthilia, makala, na matukio ya moja kwa moja. Dhamira yetu ni kuelimisha, kuburudisha, na kukuza vipaji kupitia uzalishaji wa kazi zenye ubora wa hali ya juu.

A pure python library to perform unsupervised classification of audio segments and other party tricks.

My personal webpage

CAHJagung

Windsor.ai: Blegistrasse 15, 6340 Baar, Switzerland hello@windsor.ai VAT No. GB 208 3065 32 Geraldo Pereira Junior Affiliate Manager geraldo@windsor.ai Windsor Group AG Blegistrasse 15, 6340 Baar, Switzerland support@windsor.ai

Image Tagger is an application that predicts an image's tags using deep-learning. It is useful for photographers who want to improve their workflow by auto-tagging images.

Normalisation de texte

The Konstellation Runtime Engine (KRE) is an open-source software application designed to run, maintain and evolve any kind of Machine Learning and Deep Learning solution in production.

SOVRINT. — The Runtime Cannot Be Overridden Authored by Katrina Pietroniro, root certificate and sovereign architect. This repository encodes the full runtime infrastructure for digital sovereignty, forensic correction, and mythic governance. Includes authored equations, sovereign graphs, trust transmutation logic, and institutional override protoc

Beginner projects that help and motivate me to keep learning.

This project focuses on developing a prototype application for extracting headlines and content from digitized newspaper images stored in the SIDAK (Sistem Informasi Database Koleksi) system of the Monumen Pers Nasional, utilizing computer vision and deep learning techniques.

The prototype aims to overcome the limitations of standard OCR tools by integrating YOLOv8 object detection to precisely identify and separate newspaper headlines and article content before text extraction.