Search Results for "entropy"
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Showing 23 open source projects for "entropy"
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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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truffleHog
Searches through git repositories for high entropy strings and secrets
truffleHog searches through git repositories for high entropy strings and secrets, digging deep into commit history. TruffleHog runs behind the scenes to scan your environment for secrets like private keys and credentials, so you can protect your data before a breach occurs. Secrets can be found anywhere, so TruffleHog scans more than just code repositories, including SaaS and internally hosted software. -
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Chronos Forecasting
Pretrained (Language) Models for Probabilistic Time Series Forecasting
Chronos is a family of pretrained time series forecasting models based on language model architectures. A time series is transformed into a sequence of tokens via scaling and quantization, and a language model is trained on these tokens using the cross-entropy loss. Once trained, probabilistic forecasts are obtained by sampling multiple future trajectories given the historical context. Chronos models have been trained on a large corpus of publicly available time series data, as well as synthetic data generated using Gaussian processes. -
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uqlm
Uncertainty Quantification for Language Models, is a Python package
UQLM is a Python library developed to detect hallucinations and quantify uncertainty in the outputs of large language models. The system implements a variety of uncertainty quantification techniques that assign confidence scores to model responses. These scores help developers determine how likely a generated answer is to contain errors or fabricated information. The library includes both black-box and white-box approaches to uncertainty estimation. Black-box methods evaluate model outputs... -
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PYroMat
Thermodynamic properties in python
PYroMat brings the thermodynamic properties of nearly 1,000 species to Python users with only a few keystrokes. Entropy, enthalpy, specific heats, inverse functions, and more are available from ideal gases, their mixtures, and multi-phase steam. Accurate, fast, and tested; PYroMat is the open-source solution for students, researchers, design engineers, and tinkerers everywhere who need thermodynamic properties. -
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PLD
irreversible cryptographic file wiper
Petoron Local Destroyer (PLD) Features: 10-pass default cryptographic overwrite (customizable) Argon2id + AES-CFB entropy stream per session No logs, no caching, no backups Full CLI control (purge, wipe) Clean TRASH/workflow If you want your files to truly disappear — not just be deleted - PLD is the tool. https://github.com/01alekseev/PLD -
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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... -
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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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ALAMODE
Ab initio simulator for thermal transport and lattice anharmonicity
ALAMODE is designed for analyzing lattice anharmonicity and lattice thermal conductivity of solids. By using an external DFT package such as VASP and Quantum ESPRESSO, you can extract harmonic and anharmonic force constants straightforwardly with ALAMODE. Using the anharmonic force constants, you can also calculate lattice thermal conductivity from first principles. For more information about ALAMODE, please visit the following webpages: Documentation :... -
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Twinify
Privacy-preserving generation of a synthetic twin to a data set
twinify is a software package for the privacy-preserving generation of a synthetic twin to a given sensitive tabular data set. On a high level, twinify follows the differentially private data-sharing process introduced by Jälkö et al.. Depending on the nature of your data, twinify implements either the NAPSU-MQ approach described by Räisä et al. or finds an approximate parameter posterior for any probabilistic model you formulated using differentially private variational inference (DPVI).... -
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ASRT Speech Recognition
A Deep-Learning-Based Chinese Speech Recognition System
ASRT is an end-to-end deep-learning Chinese ASR system built with TensorFlow/Keras, using convolution + CTC and a Max-Entropy HMM language model. It provides a REST/gRPC server backend and client SDKs in multiple languages (Python, Java, Go, Windows). Notably lightweight, it performs well without needing GPU acceleration and runs across platforms, targeting developers and researchers building Chinese voice interfaces. -
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Awesome Graph Classification
Graph embedding, classification and representation learning papers
A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available. Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations. -
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xsrfprobe
Advanced toolkit for detecting and exploiting CSRF vulnerabilities
...XSRFProbe performs numerous systematic checks to determine whether a web endpoint is vulnerable, including inspection of anti-CSRF tokens, cookie validation behavior, and request forgery scenarios. It also analyzes the strength and randomness of security tokens using algorithms such as entropy calculations to determine whether tokens can be predicted or forged. When a vulnerability is discovered, it can automatically generate proof-of-concept payloads that demonstrate how the flaw could be exploited in a real attack scenario. XSRFProbe provides a highly automated workflow while still allowing users to customize scanning behavior and configuration settings. -
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Deep Reinforcement Learning for Keras
Deep Reinforcement Learning for Keras.
keras-rl implements some state-of-the-art deep reinforcement learning algorithms in Python and seamlessly integrates with the deep learning library Keras. Furthermore, keras-rl works with OpenAI Gym out of the box. This means that evaluating and playing around with different algorithms is easy. Of course, you can extend keras-rl according to your own needs. You can use built-in Keras callbacks and metrics or define your own. Even more so, it is easy to implement your own environments and... -
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ParaCrypt
more convenient one-time-pad encryption.
ParaCrypt is software for encrypting and decrypting data with one-time-pads. For convenience the one-time-encryption-pads are created using pre-shared unencrypted files as sources of entropy. -
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SecQua
SecQua tries to quantify the security of a given Information System
...The approach is vulnerability driven and in order to get as much unbiased results, it makes use of the National Vulnerability Database. This work is mainly based on the following publications: *C. Patsakis, Gregory Chondrocoukis, D. Mermigas, S. Pirounias, The role of weighted entropy in security quantification, International Conference On Information Security And Artificial Intelligence (ISAI 2010), December 17-19, 2010, Chengdu, China. *C. Patsakis, D. Mermigas, S. Pirounias, N. Alexandris, E. Fountas, Towards a formalistic measuring of security using stochastic calculus, 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT 2010), Chengu, China, 9-11 July 2010. -
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pylsb-toolkit
a small and simple toolkit for LSB based steganalysis
This is a small and simple toolkit that might be useful during steganalysis, it is currently composed by several general purpose command line tools. NOTE: this project has been moved to https://github.com/luca-m/lsb-toolkit -
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tickets
pythonic kerberosish ticket system: easy to use, easy to subclass
A SecureTicket, or Ticket, consists of salt, hash, valid_until, public_flags, flags, data and "invisible" hashed entropy. Tickets are symmetrically signed using SHA256-HMAC. Fields 'valid_until', 'flags' and 'data' may be optionally encrypted using AES128-CBC or TripleAES128-CBC. Values 'data' and 'entropy' may consist of arbitrary objects which are transparently pickled(serialized), optionally gzipped and of course securely signed. Specific implementations are included: FormTicket: provides core implementation of state-less Cross Site Request Forgery protection. ... -
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This software can be used to calculate thermochemical and kinetic quantities like, enthalpy, entropy, heat capacity and transition state theory rate constants from spectroscopic/quantum data.
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The Toolkit for Advanced Discriminative Modeling (TADM) is a C++ implementation for estimating the parameters of discriminative models, such as maximum entropy models. It uses the PETSc and TAO toolkits to provide high performance and scalability.
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Software to fit whole-sentence language models using the principle of maximum entropy. For developers of speech recognizers, text prediction interfaces, OCR, machine translation software.
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Freedom Project is a software suite that enhances your Internet privacy using distributed anonymous secure communications over the Entropy network (http://entropy.stop1984.com).
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