Search Results for "entropy" - Page 2
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Showing 92 open source projects for "entropy"
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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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Major looseless compression algorithms library and documentation. First project: Arithmetic, Huffman, LZ77, LZ78, LZW, RLE. Second project reimplements Deflate. Documentation explains major Entropy Compression Methods.
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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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VDT - Visual Disk Test : performs I/O tests on files, partitions, and/or disks with visual feedback/follow-up, offering flexible test area selection by size, location, percent, or combinations thereof, plus test duration control by time or size.
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Secure File Transfer for Windows with Cerberus by RedwoodCerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
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D2X-XL
OpenGL port of the classic 6dof 3D shooter Descent
D2X-XL is an OpenGL port of the classic 3D Shooter game Descent 2 for Win32, Linux and Mac OS X, containing many enhancements and bug fixes while preserving full backwards compatibility. -
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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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zstd for Windows
A fast lossless compression algorithm and data compression tool
Zstandard, or zstd as short version, is a fast lossless compression algorithm, targeting real-time compression scenarios at zlib-level and better compression ratios. It's backed by a very fast entropy stage, provided by Huff0 and FSE library. The project is provided as an open-source dual BSD and GPLv2 licensed C library, and a command line utility producing and decoding .zst, .gz, .xz and .lz4 files. -
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passcore
A self-service password management tool for Active Directory
PassCore is a very simple 1-page web application written in C#, using ASP.NET Core, Material UI (React Components), and Microsoft Directory Services (Default provider). It allows users to change their Active Directory/LDAP password on their own, provided the user is not disabled. PassCore does not require any configuration, as it obtains the principal context from the current domain. I wrote this because a number of people have requested several features that the original version did not... -
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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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CipherSecrecyCalculator
A tool to calculate the secrecy of ciphers using Java and Shannon's theories of entropy and secrecy
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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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rtl2832-entropyd
Use an rtl2832 USB dongle to generate random data for the linux kernel
rtl2832_entropyd is a program that is designed to feed entropy into the linux /dev/random kernel entropy pool. It automatically forks and runs as a daemon, unless one of the testing options, -o or -t, are selected. Then it never forks. To use it, you need an rtl2832 USB dongle. They are relatively cheap (< $10 on ebay), and are actually used to listen to a broad range of radio transmissions. -
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haveged is a daemon that feeds entropy into the linux /dev/random pool using a random number generator based upon the HArdware Volatile Entropy Gathering and Expansion algorithm.
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...Currently, it includes the software systems KReator and MECore and the library Log4KR: - KReator is an integrated development environment (IDE) for relational probabilistic knowledge representation languages such as Bayesian Logic Programs (BLPs), Markov Logic Networks (MLNs), Relational Maximum Entropy (RME), First-Order Probabilistic Conditional Logic (FO-PCL), and others. - MECore is a shell-based system that allows the user to create propositional knowledge bases, to perform a variety of belief change operations, and to query a knowledge base with respect to the principle of optimum entropy. - Log4KR is a library providing data structures to represent knowledge bases in various logic formalisms (propositional, relational, conditional, probabilistic, ...) and providing algorithms to perform reasoning operations
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MatQuantify
An image processing tool
...MatQuantify can quantify various physical properties extracted from fluorescence microscopy images, such as area, lengths of various components, perimeter, eccentricity, fractal dimension, satellite objects and orientation. It can also measure textual properties including entropy, intensities and the standard deviation of intensities. Using MatQuantify, we studied the effect of knocking down the protein clathrin heavy chain (CHC) on the mitotic spindle. We analysed 217 microscopy images of untreated metaphase cells, 172 images of metaphase cells transfected with small interfering RNAs targeting the luciferase gene (as a negative control), and 230 images of metaphase cells depleted of CHC. ... -
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PadotusRNDT.js
This library allows you to generate a random number
...The resulting sequence corresponds to a discrete uniform distribution and is close to natural random sequences in terms of statistical randomness tests (LFSR, Approximate Entropy, DIEHARD Test). -
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MELTING is a software to compute, for a nucleic acid duplex, the enthalpy and the entropy of the helix coil transition and then the melting temperature. Four types of hybridization are possible : DNA/DNA, RNA/RNA, RNA/DNA and mRNA/RNA.
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netseed
A console script to provide functionality similar to ubuntu pollinate
A console script to provide functionality similar to ubuntu pollinate and gather entropy from online sources to increase quality of randomness available to applications. -
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nunn
This is an implementation of a machine learning library in C++17
nunn is a collection of ML algorithms and related examples written in modern C++17. -
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geneslider
Gene Slider for Alignment Visualisation
Gene Slider can be used to visualize conservation and entropy of aligned DNA and protein sequences by presenting them as one long sequence logo. The presented sequence logo can be zoomed in and out. It can also display motifs in alignments. A built-in search function can be used to find motifs. Gene Slider is available online on the Bio-Analytic Resource and for download here. -
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jpegant
Embedded JPEG encoder
...High speed and small memory usage is its main concern. It implements a subset of JPEG standard. Now the code contains JPEG decoder so if you decided to use nonstandard transform or entropy coding in encoder you still will be able to decode bitstream (provided that you keep the decoder in sync of course). Release 1.1 source code and Windows executables are on the download page. For the latest release code look into the repository in 'release-1-0' branch. The SSE2 inplementation is present in 'simd.0' branch in the repository. -
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A formula based sequence from the original virus would contain segments that are mathematically identical to the virus strain and can be found in the virus and used as a vaccine. Some patterns for h.i.v. may not result in repetition of tev and can be stored as immunity. The formula technique above can be used to find and study vaccines with bio-informatics software.
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This program demonstrates the use of Learning Entropy for novelty detection in time series where relatively simple real-time learning systems can instantly detect novelty in otherwise complex dynamical behaviour. This program and the Python code is free for non-commercial use with no warranty. Updates: v. 1.3: Inverse z-scoring bug fixed. Unused function get_path deleted.
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CURRENNT
CUDA-enabled machine learning library for recurrent neural networks
CURRENNT is a machine learning library for Recurrent Neural Networks (RNNs) which uses NVIDIA graphics cards to accelerate the computations. The library implements uni- and bidirectional Long Short-Term Memory (LSTM) architectures and supports deep networks as well as very large data sets that do not fit into main memory.
