IB-CNN
Boosting algorithm
A library implementing a learning algorithm for improving classification accuracy with incremental updates and ensemble methods using neural networks
Incremental Boosting Convolutional Neural Networks
2 stars
0 watching
1 forks
last commit: over 7 years ago
Linked from 1 awesome list
benedekrozemberczki/awesome-gradient-boosting-papersRelated projects:
| Repository | Description | Stars |
|---|---|---|
 younghjung/onlinemlrboostingwithvfdt | An implementation of online multi-label ranking boosting using VFDT as weak learners | 4 |
 springdaisy/gbdt | An implementation of Gradient Boosted Decision Trees with sparse output for high-dimensional data | 0 |
 charliermarsh/online_boosting | A suite of algorithms and weak learners for the online learning setting in machine learning | 65 |
 cszn/ircnn | This project trains deep CNN denoisers to improve image restoration tasks such as deblurring and demosaicking through model-based optimization methods. | 602 |
 pengsun/aosologitboost | An implementation of a multi-class boosting algorithm with improved performance and speed | 7 |
 buaa-cst/ilrg | Recovery method for Federated Learning datasets using gradients to estimate instance-wise batch label restoration | 5 |
 stanfordmlgroup/ngboost | A Python library implementing a machine learning boosting framework with probabilistic prediction capabilities | 1,663 |
 jordanash/boostresnet | An implementation of a deep neural network architecture using boosting theory to improve its performance | 5 |
 hyeongseokson1/cnn_deconvolution | An implementation of a CNN-based method for non-blind deconvolution using Wiener filtering as a pre-processing step. | 22 |
 brunjlar/neural | A Haskell-based framework for flexible neural networks and similar parameterized models with automatic differentiation and modular training algorithms. | 124 |
 aqibsaeed/genetic-cnn | A tool for exploring and optimizing the architecture of Convolutional Neural Networks using a Genetic Algorithm | 218 |
 jedld/brains-jruby | An implementation of a feedforward neural network toolkit for JRuby | 60 |
 fanny-yang/earlystoppingrkhs | Code for analyzing early stopping in kernel boosting algorithms | 0 |
 jcjohnson/cnn-vis | This project enables users to generate images using convolutional neural networks (CNNs) and visualize their activations. | 499 |
 jnhwkim/cbp | An implementation of a pooling technique for multimodal neural networks in Torch7 | 69 |