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powerai / packages

Package Name Access Summary Updated
pyglet public An interface for developing games and other visually-rich applications 2025-03-25
aif360 public A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models. 2025-03-25
gym public A toolkit for developing and comparing reinforcement learning algorithms 2025-03-25
pypng public Pure Python PNG image encoder/decoder 2025-03-25
tensorflow-gan public TF-GAN: A Generative Adversarial Networks library for TensorFlow. 2025-03-25
dopamine-rl public Dopamine: A framework for flexible Reinforcement Learning research 2025-03-25
dowhy public DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. 2025-03-25
kfac public K-FAC: Kronecker-Factored Approximate Curvature 2025-03-25
mesh-tensorflow public Mesh TensorFlow - Model Parallelism Made Easier 2025-03-25
gin-config public Gin-config: a lightweight configuration library for Python 2025-03-25
thinc public thinc: Learn super-sparse multi-class models 2025-03-25
cython-blis public Fast matrix-multiplication as a self-contained Python library – no system dependencies! 2025-03-25
srsly public Modern high-performance serialization utilities for Python 2025-03-25
preshed public Cython Hash Table for Pre-Hashed Keys 2025-03-25
multicoretsne public Parallel t-SNE implementation with Python and Torch wrappers. 2025-03-25
xport public SAS XPORT file reader 2025-03-25
image public Django application that provides cropping, resizing, thumbnailing, overlays and masking for images and videos with the ability to set the center of attention, 2025-03-25
r-gsynth public Provides causal inference with interactive fixed-effect models. It imputes counterfactuals for each treated unit using control group information based on a linear interactive fixed effects model that incorporates unit-specific intercepts interacted with time-varying coefficients. This method generalizes the synthetic control method to the case of multiple treated units and variable treatment periods, and improves efficiency and interpretability. This version supports unbalanced panels and implements the matrix completion method. Main reference: Yiqing Xu (2017) <doi:10.1017/pan.2016.2>. 2025-03-25
r-mscmt public Three generalizations of the synthetic control method (which has already an implementation in package 'Synth') are implemented: first, 'MSCMT' allows for using multiple outcome variables, second, time series can be supplied as economic predictors, and third, a well-defined cross-validation approach can be used. Much effort has been taken to make the implementation as stable as possible (including edge cases) without losing computational efficiency. A detailed description of the main algorithms is given in Becker and Klößner (2018) <doi:10.1016/j.ecosta.2017.08.002>. 2025-03-25
r-rcpparmadillo public 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'. Note that Armadillo requires a fairly recent compiler; for the g++ family at least version 4.6.* is required. 2025-03-25
r-microsynth public A generalization of the 'Synth' package that is designed for data at a more granular level (e.g., micro-level). Provides functions to construct weights (including propensity score-type weights) and run analyses for synthetic control methods with micro- and meso-level data; see Robbins, Saunders, and Kilmer (2017) <doi:10.1080/01621459.2016.1213634>. 2025-03-25
r-rglpk public R interface to the GNU Linear Programming Kit. 'GLPK' is open source software for solving large-scale linear programming (LP), mixed integer linear programming ('MILP') and other related problems. 2025-03-25
r-lowrankqp public Solves quadratic programming problems where the Hessian is represented as the product of two matrices. 2025-03-25
r-bibtex public Utility to parse a bibtex file. 2025-03-25
r-slam public Data structures and algorithms for sparse arrays and matrices, based on index arrays and simple triplet representations, respectively. 2025-03-25

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