vlosing / incrementalLearningLinks
☆45Updated 6 years ago
Alternatives and similar repositories for incrementalLearning
Users that are interested in incrementalLearning are comparing it to the libraries listed below
Sorting:
- Implementation of Online Hedge Backpropagation☆52Updated 6 years ago
- predicting learning curves in python☆43Updated 8 years ago
- Online multiclass boosting algorithm that uses VFDT as weak learners☆16Updated 6 years ago
- Code for "Active One-shot Learning"☆33Updated 6 years ago
- This is the official implementation for the paper 'AutoEncoder by Forest'☆75Updated 7 years ago
- Code for the PIDForest algorithm for anomaly detection☆27Updated 5 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆67Updated last year
- ☆82Updated 5 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 7 years ago
- Static (Python) and streaming (C++) implementations of xStream (KDD 2018).☆30Updated 7 years ago
- A suite of boosting algorithms for the online learning setting.☆66Updated 7 years ago
- code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."☆38Updated 6 years ago
- simple python interface to SMAC.☆21Updated 7 years ago
- Library of transfer learners and domain-adaptive classifiers.☆91Updated 6 years ago
- Implementation of an online learning algorithm to do classification under concept drift☆23Updated 7 years ago
- Incremental Label Propagation (ILP) - Incremental Semi-Supervised Learning from Streams for Object Classification☆14Updated 6 years ago
- On the decision boundary of deep neural networks☆38Updated 6 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- gpbo☆25Updated 4 years ago
- Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."☆107Updated 10 months ago
- A Python implementation of Kernel Mean Matching data reweighting algorithm☆32Updated 9 years ago
- Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.☆39Updated 3 years ago
- Asymmetric Transfer Learning with Deep Gaussian Processes☆18Updated 9 years ago
- SupportNet: solving catastrophic forgetting in class incremental learning with support data☆34Updated 6 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- ☆74Updated 6 years ago
- eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding☆23Updated 4 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆93Updated 7 years ago
- incremental CART decision tree, based on the hoeffding tree i.e. very fast decision tree (VFDT), which is proposed in this paper "Mining …☆103Updated 4 years ago
- Beyond Outlier Detection: LookOut for Pictorial Explanation☆26Updated 6 years ago