Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasy…
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regularization
Repositories 192
2.86% and 15.85% on CIFAR-10 and CIFAR-100
Lua
Updated Oct 9, 2018
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
machine-learning
computer-vision
pytorch
regularization
convolutional-neural-networks
dropblock
pytorch-implementation
dropout
Python
Updated Feb 22, 2019
R code for the assignments of Ng's Coursera machine learning course
machine-learning
learning-curve
pca
linear-regression
gradient-descent
svm
principal-component-analysis
clustering
neural-network
k-means
recommender-system
classification
regularization
anomalydetection
R
Updated Jul 12, 2018
Image-processing software for cryo-electron microscopy
microscopy
cryo-em
hpc
cuda
image-processing
biomolecular-dynamics
molecular-biology
molecular-structures
atomistic-models
ctf
high-performance-computing
graphics-programming
gui
microscope
optimization-algorithms
maximum-likelihood
likelihood
relion
regularization
nvidia
C++
Updated Mar 22, 2019
deep-learning
deep-neural-networks
regularization
semi-supervised-learning
data-augumentation
supervised-machine-learning
pytorch
Python
Updated Mar 9, 2019
The tools and syntax you need to code neural networks from day one.
Jupyter Notebook
Updated Sep 25, 2017
Ordered Weighted L1 regularization for classification and regression in Python
Python
Updated Aug 27, 2018
Generalized Linear Models in Sklearn Style
Python
Updated Oct 12, 2018
Early stopping for PyTorch
Jupyter Notebook
Updated Jan 19, 2019
A machine learning project in F#
machine-learning-algorithms
linear-regression
logistic-regression
fsharp
regularization
svm
gradient-boosting-machine
F#
Updated Jun 19, 2018
Efficient Algorithms for L0 Regularized Learning
machine-learning
sparse-regression
compressed-sensing
feature-selection
regularization
sparse-modeling
C++
Updated Jan 2, 2019
Implementation of key concepts of neuralnetwork via numpy
neural-network
deeplearning
numpy
cross-entropy-loss
sgd
relu
mnist
numpy-neuralnet-exercise
regularization
dropout
xavier-initializer
cnn
Python
Updated Feb 6, 2018
A set of machine learning experiments in Clojure
Clojure
Updated Nov 30, 2012
Software for learning sparse Bayesian networks
bayesian-networks
covariance-matrices
experimental-data
graphical-models
regularization
machine-learning
statistics
r
R
Updated Sep 12, 2017
AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
machine-learning
machine-learning-algorithms
deep-learning
deep-neural-networks
statistics
svm-classifier
discriminant-analysis
generative-model
expectation-maximization-algorithm
variational-inference
learningnotes
learning-theory
regularization
perceptron-learning-algorithm
k-means-clustering
gaussian-mixture-models
HTML
Updated Mar 3, 2019
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
deep-learning
coursera
batch-normalization
neural-network
convolutional-networks
regularization
optimization
Jupyter Notebook
Updated Jun 20, 2018
Now on CRAN, bigKRLS combines bigmemory & RcppArmadillo (C++) for speed into a new Kernel Regularized Least Squares a…
R
Updated Mar 19, 2019
Statistical Models with Regularization in Pure Julia
Julia
Updated Jan 16, 2019
机器学习-Coursera-吴恩达- python+Matlab代码实现
MATLAB
Updated Nov 20, 2018
machine-learning
coursera-machine-learning
svm
logistic-regression
linear-regression
neural-network
regularization
learning-curve
MATLAB
Updated Sep 28, 2017
An implementation of DropConnect Layer in Keras
keras
machine-learning
deep-learning
keras-neural-networks
keras-implementations
regularization
dropconnect
Python
Updated Jan 31, 2019
A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (…
machine-learning
machine-learning-algorithms
convex-optimization
lbfgs-algorithm
sgd
logistic-regression
support-vector-machines
gradient-descent
optimization-algorithms
jensen
tron
lbfgs
regularization
C++
Updated Oct 11, 2018
Optimization and Regularization variants of NMF
Python
Updated Oct 19, 2018
Julia package of regularization functions for machine learning
Julia
Updated Aug 24, 2018
This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implem…
datascience
statistical-learning
r
data-analysis
depth-interpretation
machine-learning-algorithms
predictive-modeling
polynomial-regression
k-nn
boosting
bagging
generalized-additive-models
discriminant-anlaysis
decision-trees
svm-classifier
logistic-regression
supervised-machine-learning
regularization
clustering-algorithm
R
Updated Apr 7, 2018
A web app that helps Kickstarter creators increase their chances of being funded
natural-language-processing
machine-learning
datascience
classification
logistic-regression
regularization
cross-validation
model-selection
webscraping
postgresql
exploratory-data-analysis
Jupyter Notebook
Updated Oct 3, 2017
Generalized linear models with network-regularization in R and C++.
regularization
linear-regression
network-regularization
regression
r
biological-networks
biological-data-analysis
C++
Updated Feb 4, 2019
Iterative unfolding for Python
Python
Updated Nov 19, 2018
MATLAB package of iterative regularization methods and large-scale test problems. This software is described in the p…
regularization
matlab
inverse-problems
krylov-subspace-methods
image-deblurring
tomography
nmr
conjugate-gradient
gmres
fista
MATLAB
Updated Feb 9, 2019