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information-theory
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Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra
php
finance
statistics
algebra
math
php-library
information-theory
vector
matrix
linear-algebra
probability
mathematics
regression
combinatorics
number-theory
numerical-analysis
distributions
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Apr 17, 2022 - PHP
Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx
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Mar 22, 2021 - Python
Multi-level network clustering based on the Map Equation
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Jun 8, 2022 - C++
CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded by other versions below.
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Jun 2, 2017 - Python
Open
Add type2score alias
ryanjgallagher
commented
Jul 26, 2021
Add a new parameter alias type2score which can be used to set the score dictionary for both corpora at the same time in a WeightedAvgShift. Specifying a single dictionary using only type2score_1 is already possible, but a parameter type2score would be more natural. Just have to check if type2score is None, and if not, set type2score_1 as type2score. Existing code should then handle
good first issue
Good for newcomers
Non-parametric Entropy Estimation Toolbox
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Oct 13, 2019 - Python
JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems
python
java
entropy
matlab
information-theory
octave
mutual-information
transfer-entropy
conditional-mutual-information
conditional-transfer-entropy
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Jun 13, 2022 - Java
The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using information theory.
university
information-theory
germany
australia
vicente
complex-systems
sydney
centre
tartu
transfer-entropy
finn
partial-information-decomposition
active-information-storage
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Jun 1, 2022 - Python
Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)
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Mar 12, 2022 - Python
A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations
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Oct 6, 2021 - Python
machine-learning
deep-learning
topology
calculus
math
information-theory
linear-algebra
probability
mathematics
set-theory
cheatsheet
discrete-mathematics
graph-theory
awesome-list
group-theory
lecture-notes
cheatsheets
number-theory
measure-theory
math-cheatsheets
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Jun 13, 2022
Information Theory and Distance Quantification with R
r
statistics
information-theory
similarity-measures
distance-measures
jensen-shannon-divergence
distance-quantification
parametric-distributions
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Mar 3, 2022 - R
[ICLR 2021] "InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective" by Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu
information-theory
language-models
bert
adversarial-attacks
roberta
adversarial-defense
adversarial-robustness
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Jan 14, 2021 - Python
Adaptive and automatic gradient boosting computations.
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Feb 14, 2022 - R
Uncertainty and causal emergence in complex networks
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Sep 6, 2021 - Jupyter Notebook
We propose a new Portfolio Management strategy combining Log-Optimal based Strategy and Reinforcement-Learning based Strategy.
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Aug 8, 2018 - Python
A Coq formalization of information theory and linear error-correcting codes
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Apr 14, 2022 - Coq
The HSIC Bottleneck: Deep Learning without Back-Propagation
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Dec 13, 2020 - Python
An open-source library for Python 3 providing tools for analysis and simulation of analog and digital communication systems.
information-theory
communications
sequences
modulation
error-control
block-coding
convolutional-coding
pulse-formatting
source-coding
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Oct 22, 2021 - Python
Probabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service.
search
machine-learning
statistics
entropy
neural-network
information-theory
matrix
fuzzy-search
parallel-computing
agi
artificial-intelligence
classification
bayesian-inference
neuron
human-computer-interaction
binary-search
fuzzy-logic
expert-system
strong-ai
algorithms-datastructures
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Apr 16, 2022 - C++
Periodic time series analysis tools based on information theory
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Oct 15, 2021 - Python
Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data
python
machine-learning
clustering
information-theory
unsupervised-learning
factor-analysis
covariance-matrix
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Nov 30, 2020 - Python
Framework for Information Theoretical analysis of Electrophysiological data and Statistics
statistics
information-theory
rfx
functional-connectivity
ffx
electrophysiological-data
neurophysiological-data
group-level
gaussian-copula
cluster-based
brainweb
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Jun 13, 2022 - Python
Implementation of Information Dropout
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Jul 12, 2017 - Python
Improving generalization by controlling label-noise information in neural network weights.
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Nov 20, 2020 - Jupyter Notebook
Tensorflow 2 source code for the PI-SAC agent from "Predictive Information Accelerates Learning in RL" (NeurIPS 2020)
machine-learning
reinforcement-learning
deep-learning
robotics
information-theory
deep-reinforcement-learning
vision
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Apr 7, 2022 - Python
Resources and Implementations (PyTorch) for Information Theoretical concepts in Deep Learning
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Jan 6, 2019 - Jupyter Notebook
Implementation of linear CorEx and temporal CorEx.
machine-learning
clustering
information-theory
unsupervised-learning
temporal-data
covariance-estimation
corex
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Aug 17, 2021 - Python
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Love the book! Ran into this display issue when viewing it on Chrome's PDF viewer:
