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The Top 23 Machine Learning Regularization Open Source Projects

Open source projects categorized as Machine Learning Regularization
Categories > Machine Learning > Machine Learning
Categories > Regularization
Deeplearning ⭐ 2,347
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
most recent commit 4 years ago
Data Science Interview Questions And Answers ⭐ 1,169
Data science interview questions with answers. Not ideally (yet)
most recent commit 2 years ago
Morph Net ⭐ 1,010
Fast & Simple Resource-Constrained Learning of Deep Network Structure
most recent commit 9 months ago
Basic_model_scratch ⭐ 609
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
most recent commit 4 years ago
Bigartm ⭐ 537
Fast topic modeling platform
total releases 31most recent commit 3 years ago
Dropblock ⭐ 408
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
total releases 5most recent commit 4 years ago
Machine Learning Notebooks ⭐ 241
Machine Learning notebooks for refreshing concepts.
most recent commit 3 years ago
Ml Course ⭐ 168
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
most recent commit 3 months ago
Pyramid ⭐ 162
Open source Machine Learning library written in Java
most recent commit 4 years ago
Machine Learning Andrew Ng ⭐ 150
机器学习-Coursera-吴恩达- python+Matlab代码实现
most recent commit 2 years ago
Machine_learning_2018 ⭐ 146
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
most recent commit 3 years ago
Machine Learning ⭐ 133
python，机器学习笔记，machine learning，nlp
most recent commit 5 years ago
Py Glm ⭐ 86
Generalized Linear Models in Sklearn Style
most recent commit 4 years ago
L0learn ⭐ 84
Efficient Algorithms for L0 Regularized Learning
total releases 2most recent commit 7 months ago
Pytorch_ard ⭐ 70
Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
total releases 5most recent commit 2 years ago
Deep Learning 101 ⭐ 56
The tools and syntax you need to code neural networks from day one.
most recent commit 7 years ago
Ai_learning_hub ⭐ 45
AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
most recent commit 4 years ago
Deep Learning Notes ⭐ 40
Notes from the DeepLearning.AI courses
most recent commit 6 years ago
The Deep Learning With Keras Workshop ⭐ 40
An Interactive Approach to Understanding Deep Learning with Keras
most recent commit a year ago
Jensen ⭐ 39
A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)
most recent commit 2 years ago
Sparsebn ⭐ 37
Software for learning sparse Bayesian networks
total releases 5most recent commit 4 years ago
Box Embeddings ⭐ 35
Box Embeddings as Modules
total releases 2most recent commit 2 years ago
Ml ⭐ 35
most recent commit a year ago
The 9 Latest Releases In Machine Learning Regularization Open Source Projects
L0learn ⭐ 84
Efficient Algorithms for L0 Regularized Learning
total releases 2latest release June 03, 2022most recent commit 7 months ago
Shadow ⭐ 8
Shadow semi-supervised consistency regularization PyTorch library
total releases 2latest release October 07, 2021most recent commit 3 years ago
Box Embeddings ⭐ 35
Box Embeddings as Modules
total releases 2latest release August 05, 2021most recent commit 2 years ago
Pytorch_ard ⭐ 70
Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
total releases 5latest release December 15, 2020most recent commit 2 years ago
Bigartm ⭐ 537
Fast topic modeling platform
total releases 31latest release November 09, 2020most recent commit 3 years ago
Regularization_for_machine_learning ⭐ 6
Regularization for Machine Learning-RegML GUI
total releases 3latest release April 18, 2019most recent commit a year ago
Morph.py ⭐ 16
A neural architecture optimizer, targeted at model-size w.r.t. accuracy
total releases 6latest release February 12, 2019most recent commit 5 years ago
Dropblock ⭐ 408
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
total releases 5latest release December 17, 2018most recent commit 4 years ago
Sparsebn ⭐ 37
Software for learning sparse Bayesian networks
total releases 5latest release September 12, 2017most recent commit 4 years ago
Popular Machine Learning Categories
Deep Learning
Machine Learning
Pytorch
Tensorflow
Natural Language Processing
Neural Network
Neural
Computer Vision
Convolutional Neural Networks
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