psyplotPython package for interactive data visualization
Stars: ✭ 64 (-12.33%)
prediction-builderA library for machine learning that builds predictions using a linear regression.
Stars: ✭ 107 (+46.58%)
smoothThe set of smoothing functions used for time series analysis and in forecasting.
Stars: ✭ 78 (+6.85%)
econtoolsEconometrics and data manipulation functions.
Stars: ✭ 96 (+31.51%)
polatoryFast, memory-efficient 3D spline interpolation and global kriging, via RBF (radial basis function) interpolation.
Stars: ✭ 82 (+12.33%)
ugtmugtm: a Python package for Generative Topographic Mapping
Stars: ✭ 34 (-53.42%)
cheapmlMachine Learning algorithms coded from scratch
Stars: ✭ 17 (-76.71%)
BetaML.jlBeta Machine Learning Toolkit
Stars: ✭ 64 (-12.33%)
araAgile Regression Analyzer
Stars: ✭ 74 (+1.37%)
MLwebMachine learning and scientific computing (linear algebra, statistics, optimization) javascript libraries, with an online lab.
Stars: ✭ 85 (+16.44%)
pycsouPycsou is a Python 3 package for solving linear inverse problems with state-of-the-art proximal algorithms. The software implements in a highly modular way the main building blocks -cost functionals, penalty terms and linear operators- of generic penalised convex optimisation problems.
Stars: ✭ 37 (-49.32%)
PyTsetlinMachineCUDAMassively Parallel and Asynchronous Architecture for Logic-based AI
Stars: ✭ 37 (-49.32%)
XCloudOfficial Code for Paper <XCloud: Design and Implementation of AI Cloud Platform with RESTful API Service> (arXiv1912.10344)
Stars: ✭ 58 (-20.55%)
blorrTools for developing binary logistic regression models
Stars: ✭ 16 (-78.08%)
stylegan-encoderStyleGAN Encoder - converts real images to latent space
Stars: ✭ 694 (+850.68%)
FocusLiteNNOfficial PyTorch and MATLAB implementations of our MICCAI 2020 paper "FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology"
Stars: ✭ 28 (-61.64%)
ML-TrackThis repository is a recommended track, designed to get started with Machine Learning.
Stars: ✭ 19 (-73.97%)
GIouloss CIouloss caffeCaffe version Generalized & Distance & Complete Iou loss Implementation for Faster RCNN/FPN bbox regression
Stars: ✭ 42 (-42.47%)
reggieStata-like Regression Functionality for R
Stars: ✭ 24 (-67.12%)
mugshotFramework independent visual testing library
Stars: ✭ 126 (+72.6%)
Metida.jlJulia package for fitting mixed-effects models with flexible random/repeated covariance structure.
Stars: ✭ 19 (-73.97%)
EvoTrees.jlBoosted trees in Julia
Stars: ✭ 108 (+47.95%)
BVQA BenchmarkA resource list and performance benchmark for blind video quality assessment (BVQA) models on user-generated content (UGC) datasets. [IEEE TIP'2021] "UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content", Zhengzhong Tu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik
Stars: ✭ 93 (+27.4%)
R-Machine-LearningD-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.
Stars: ✭ 27 (-63.01%)
BASBAS R package https://merliseclyde.github.io/BAS/
Stars: ✭ 36 (-50.68%)
regressrA command line regression testing framework for testing HTTP services
Stars: ✭ 35 (-52.05%)
3D-face-reconstruction3D Face Reconstruction from a Single Image using Direct Volumetric CNN Regression.
Stars: ✭ 28 (-61.64%)
needlestackMulti-sample somatic variant caller
Stars: ✭ 45 (-38.36%)
NCE-lossTensorflow NCE loss in Keras
Stars: ✭ 30 (-58.9%)
basis-expansionsBasis expansion transformers in sklearn style.
Stars: ✭ 74 (+1.37%)
WaDIQaM[unofficial] Pytorch implementation of WaDIQaM in TIP2018, Bosse S. et al. (Deep neural networks for no-reference and full-reference image quality assessment)
Stars: ✭ 119 (+63.01%)
SGppSG⁺⁺ – the numerical library for Sparse Grids in all their variants.
Stars: ✭ 59 (-19.18%)
Cuff less BP PredictionPrediction of Blood Pressure from ECG and PPG signals using regression methods.
Stars: ✭ 101 (+38.36%)
rollRegresR package for fast rolling and expanding linear regression models
Stars: ✭ 20 (-72.6%)
jGeneticNeuralNetA Java library that trains neural networks with a genetic algorithm.
Stars: ✭ 16 (-78.08%)
R4EconR Code Examples Multi-dimensional/Panel Data
Stars: ✭ 16 (-78.08%)
LIBSVM.jlLIBSVM bindings for Julia
Stars: ✭ 74 (+1.37%)
consistencyImplementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models
Stars: ✭ 26 (-64.38%)
triplet-loss-pytorchHighly efficient PyTorch version of the Semi-hard Triplet loss ⚡️
Stars: ✭ 79 (+8.22%)
Machine-Learning-SpecializationProject work and Assignments for Machine learning specialization course on Coursera by University of washington
Stars: ✭ 27 (-63.01%)
MMD-GANImproving MMD-GAN training with repulsive loss function
Stars: ✭ 82 (+12.33%)
GeDMLGeneralized Deep Metric Learning.
Stars: ✭ 30 (-58.9%)
pivenOfficial implementation of the paper "PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction" by Eli Simhayev, Gilad Katz and Lior Rokach
Stars: ✭ 26 (-64.38%)
pycobrapython library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
Stars: ✭ 111 (+52.05%)
PRISMAn alternative to MCMC for rapid analysis of models
Stars: ✭ 40 (-45.21%)
brglm2Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction
Stars: ✭ 18 (-75.34%)
CubistA Python package for fitting Quinlan's Cubist regression model
Stars: ✭ 22 (-69.86%)
Universal Head 3DMMThis is a Project Page of 'Towards a complete 3D morphable model of the human head'
Stars: ✭ 138 (+89.04%)
RADN[CVPRW 2021] Codes for Region-Adaptive Deformable Network for Image Quality Assessment
Stars: ✭ 49 (-32.88%)
onelearnOnline machine learning methods
Stars: ✭ 14 (-80.82%)
Spatially-Varying-Blur-Detection-pythonpython implementation of the paper "Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes" - cvpr 2017
Stars: ✭ 43 (-41.1%)
SphereFace🍑 TensorFlow Code for CVPR 2017 paper "SphereFace: Deep Hypersphere Embedding for Face Recognition"
Stars: ✭ 110 (+50.68%)