Search Results for "python q learning"

* Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads:...

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

The Arabic Corpus {compiled by Dr. Mourad Abbas ( http://sites.google.com/site/mouradabbas9/corpora ) The corpus Khaleej-2004 contains 5690 documents. It is divided to 4 topics (categories). The corpus Watan-2004 contains 20291 documents organized in 6 topics (categories). Researchers who use these two corpora would mention the two main references: (1) For Watan-2004 corpus ---------------------- M. Abbas, K. Smaili, D. Berkani, (2011) Evaluation of Topic Identification Methods on...

CrfAny is a C++ package for efficient and exact training and inference of Conditional Random Fields over any graphical structure, supporting all feature types (boolean, integer and real) and command line, C++/Python Lib interfaces.