Ivis4ml

xz-dev's repositories

fssemR

An optimizer of Fused-Sparse Structural Equation Models, which is the state-of-the-art (sota) jointly fused sparse maximum likelihood function for structural equation models proposed by Xin Zhou and Xiaodong Cai

Language:R400

lassonet

An implementation of the ideas in "Lassonet - Neural Networks with Feature Sparsity".

Language:Jupyter Notebook300

FSSEM

Inference of Differential Gene Regulatory Networks Based on Gene Expression and Genetic Perturbation data.

Language:RGPL-3.0100

ssemQr

An optimizer of Sparse Structural Equation Model based eQTL mapping. Joint eQTL mapping and Inference of Gene Regulatory Network Improves Power of Detecting both cis- and trans-eQTLs

Language:R100

Data4Sproga

HalfMoon_Simulation_Data

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HDPenReg

:exclamation: This is a read-only mirror of the CRAN R package repository. HDPenReg — High-Dimensional Penalized Regression

Language:C++000

image_captioning

Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"

Language:PythonMIT000

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

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penreg

An R package for estimation of various penalized regression models

Language:C++GPL-3.0000

PRSccOld

Proximal Gradient Smoothing Sparse Convex Clustering

Language:R010

SFrame

SFrame: Scalable tabular and graph data-structures built for out-of-core data analysis and machine learning.

Language:C++BSD-3-Clause000

SparseSEMs

SparseSEMs: An optimizer of Fused-Sparse Structural Equation Models. State-of-the-art (sota) joint sparse aware maximum likelihood function for structural equation models. Fused sparse lasso penalty is included.

Language:RGPL-3.0000

ssemQr_paper-tables

Supplementary materials for ssemQr paper

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summarize-from-feedback

Code for "Learning to summarize from human feedback"

Language:PythonNOASSERTION000

the-algorithm-ml

Source code for Twitter's Recommendation Algorithm

Language:PythonAGPL-3.0000