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531 search results found

Point Cloud Regularization ⭐ 24

A structured optimization framework for spatially regularizing point clouds classification

Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition (NeurIPS 2019)

Optimization and Regularization variants of NMF

Graph Similarity Learning ⭐ 24

Algorithms for learning network structure from effective resistances and other random-walk-based similarities.

Numpy_neural_net ⭐ 24

A simple neural network (multilayer perceptron) with backpropagation implemented in Python with NumPy

Deblur Pmp ⭐ 24

Blind Image Deblurring Using Patch-Wise Minimal Pixels Regularization

Spotify_song_recommender ⭐ 24

This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.

Code implementing the CORE-RL algorithm with DDPG, PPO, and TRPO. See the paper "Control Regularization for Reduced Variance Reinforcement Learning" for additional details.

Tile Map Server reverse proxy with coordinates regularization

PEST++ inverse model project

Adversarial_mter ⭐ 23

Code for ICCV2019 paper《Adversarial Learning with Margin-based Triplet Embedding Regularization》

OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks

Traj Pred Irl ⭐ 23

Official implementation of "Regularizing neural networks for future trajectory prediction via IRL framework" published in IET CV

Knowledge_tracing ⭐ 22

自适应学习模型 - 知识追踪

A Java version of ftrl algorithm

Hyperstar ⭐ 21

Hyperstar: Negative Sampling Improves Hypernymy Extraction Based on Projection Learning.

Gamma lasso regression

Stux Dnn ⭐ 21

Run-time trojan attack on neural networks

Bottom Up Tal With Mr ⭐ 21

Weightedmeancurvature ⭐ 21

Weighted Mean Curvature is a better regularization than Total Variation

Depthinpainting ⭐ 21

Depth Image Inpainting with Low Gradient Regularization

[ICLR'23] Trainability Preserving Neural Pruning (PyTorch)

Deep Learning For Inverse Problems ⭐ 21

This project hosts the code and datasets I used for Deep Learning course at Boston University. It aims to post-process the images the low quality images produced as a result of solving inverse problems in imaging (particularly Computed Tomography) and produce high-quality images.

Lamda Zhijian ⭐ 21

ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse

Ksvd_reg ⭐ 20

Regularized K-SVD Algorithm

DeepRED: Deep Image Prior Powered by RED

Consistency ⭐ 19

Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models

Stable Baselines Tf2 ⭐ 19

stable-baselines for TF2.x

Matrix Completion ⭐ 19

Matrix completion and decomposition algorithm

Smoothing Consistency ⭐ 19

Code for the paper "Consistency Regularization for Certified Robustness of Smoothed Classifiers" (NeurIPS 2020)

Cross Lipschitz ⭐ 19

Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]

3d Brain Tumor Segmentation ⭐ 19

Volumetric MRI brain tumor segmentation using autoencoder regularization

R-package for elastic net regularized regression with zero sum constraint

R Package: Regularized Principal Component Analysis for Spatial Data

Deepmesh ⭐ 18

Random Mesh Projectors for Inverse Problems

Strat_models ⭐ 18

A distributed method for fitting Laplacian regularized stratified models.

Deep Learning Topics ⭐ 18

Coursera Deeplearning.ai Stanford University Machine Learning Specialization ⭐ 18

This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.

Textadain Robust Recognition ⭐ 18

TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizers

Cure_robustness ⭐ 18

Implemented CURE algorithm from robustness via curvature regularization and vice versa

Implementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019

Multi Label Classification ⭐ 18

基于tf.keras的多标签多分类模型

Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · R. Huang

Introduction To Machine Learning ⭐ 17

A document covering machine learning basics. 🤖📊

Unsupervised leaf-wood classification from laser scanning point clouds

Certifiedmonotonicnetwork ⭐ 17

SANNet Neural Network Framework

Shakedrop ⭐ 17

Torch implementation of the paper "ShakeDrop regularization" (https://arxiv.org/abs/1802.02375).

Simple Implementation Of Ml Algorithms ⭐ 17

My simplest implementations of common ML algorithms

Deeplearning_from_scratch ⭐ 16

A Deep Learning framework for CNNs and LSTMs from scratch, using NumPy.

Transformation Cr ⭐ 16

Transformation Consistency Regularization- A Semi-Supervised Paradigm for Image-to-Image Translation

Statistical Learning Using R ⭐ 16

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Citeulike A ⭐ 16

Dataset citeulike-a for 'Collaborative Topic Regression with Social Regularization' (CTRSR)

Fast Furious ⭐ 16

code (R, Matlab/Octave), models and meta-models I needed in my Machine Learning Lab but I didn't found on the shelf

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

Radon Transform_schultz Gu ⭐ 16

We present two Matlab-based routines, Radon_inverse and Radon_forward, that perform discrete inverse and forward Radon transforms. These frequency-based methods offer the user flexible choices among multiple regularization methods and path functions. They are designed for simplicity and flexibility, and the Matlab foundation ensures portability between platforms. Both Radon_inverse and Radon_forward could be readily adapted or modified for a broad range of geophysical applications.

Campaign Critic ⭐ 16

A web app that helps Kickstarter creators increase their chances of being funded

Morph.py ⭐ 16

A neural architecture optimizer, targeted at model-size w.r.t. accuracy

Gan Manifold Reg ⭐ 16

This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning

Large Scale Ot Mapping Tf ⭐ 16

Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)

Machine_learning_from_scratch ⭐ 15

Machine Learning models from scratch with a better visualisation

Kaist Ai Neurips2019 Micronet 2nd Place Solution ⭐ 15

NeurIPSCD2019, MicroNet Challenge hosted by Google, Deepmind Researcher, "Efficient Model for Image Classification With Regularization Tricks".

Generate And Rank Connorm ⭐ 15

Generate-and-Rank Framework with Semantic Type Regularization for Biomedical Concept Normalization

Unsupervised Differentiable Multi-aspect Network Embedding (asp2vec) (KDD2020)

Usc_dsci 552_extra_materials ⭐ 15

Extra Materials for The USC DSCI-552 Lecture

Adareg Monodispnet ⭐ 15

Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)

Crfsegmenter ⭐ 15

A multi-language segmenter using high-order CRF.

Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.

Robust Elm Irls ⭐ 15

Robust regularized Extreme Learning Machine (ELM) for regression using Iteratively Reweighted Least Squares (IRLS).

Machine Learning Bookcamp 2022 ⭐ 15

Solutions for the Machine Learning Zoomcamp 2022 by DataTalks.Club.

Deep Learning Notes ⭐ 15

Deep Learning Coursera Specialization • Lecture Notes • Lab Assignments

Pyunfold ⭐ 14

Iterative unfolding for Python

The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)

TVReg, Version 1.1: Software for 3D Total Variation Regularization

Onlinelearning.jl ⭐ 14

Kernel_reg ⭐ 14

Pytorch implementation of regularization methods for deep networks obtained via kernel methods.

Scaleable input gradient regularization

Nonrigid Point Set Registration with Robust Transformation Learning under Manifold Regularization / Non-Rigid Point Set Registration with Robust Transformation Estimation under Manifold Regularization

Logistic Regression L1 ⭐ 14

Variational Factorization Machines

Predicting Baseball Statistics ⭐ 14

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn

Orthoreg ⭐ 14

Torch implementation of orthoreg.

Classifier ⭐ 14

Online Classification Library

Nn Dropout ⭐ 14

This code is for training feedforward neural networks with dropout.

Scikit Datasmooth ⭐ 14

scikits.datasmooth repository

Bayesreg ⭐ 14

R package to perform Bayesian regularization using Stan.

Pytorch Finetuner ⭐ 13

Cp_pfdr_graph_d1 ⭐ 13

Cut-pursuit with preconditioned forward-Douglas-Rachford for regularization of classical functionals by graph total variation

Visualdialog Pytorch ⭐ 13

Community Regularization of Visually Grounded Dialog https://arxiv.org/abs/1808.04359

Coursera Machine Learning ⭐ 13

[WIP] In this repository I implemented all assignments in python. (No octave to python library)

Simple frequency domain full-waveform inversion (FWI) regularized by Sobolev space norm

Robust Attribution Regularization ⭐ 13

Robust Attribution Regularization

Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)

Infomarl ⭐ 13

using information theory to encourage agents to cooperate and compete

Wgan Lp Tensorflow ⭐ 13

Reproduction code for WGAN-LP

Arow_csc ⭐ 13

Cost-sensitive multiclass classification with Adaptive Regularization of Weights

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