Transfer learning algorithm TrAdaboost,coded by python
☆126Dec 10, 2022Updated 3 years ago
Alternatives and similar repositories for tradaboost
Users that are interested in tradaboost are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Scikit-learn style implementation of TrAdaBoost algorithm☆36Jan 19, 2018Updated 8 years ago
- ☆48Jun 21, 2018Updated 7 years ago
- 国内首个迁移学习赛题 中国平安前海征信“好信杯”迁移学习大数据算法大赛 FInSight团队作品(算法方案排名第三)☆86Sep 19, 2018Updated 7 years ago
- ☆15Sep 9, 2015Updated 10 years ago
- Boosting for Domain Adaptation☆13Jul 3, 2016Updated 9 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- An adaboost implementation with decision trees in pure python.☆16Aug 5, 2016Updated 9 years ago
- A Unified Framework for Metric Transfer Learning☆17Oct 28, 2017Updated 8 years ago
- ☆29May 2, 2018Updated 7 years ago
- Implementation of "Adversarial Discriminative Domain Adaptation" on pytorch☆31Jun 18, 2017Updated 8 years ago
- Implementation and usage of marginalized stacked denoising autoencoders (mSDA)☆24Jun 1, 2016Updated 9 years ago
- PyTorch implementation of https://arxiv.org/abs/1711.02536☆12Jan 11, 2018Updated 8 years ago
- Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials…☆14,306Feb 18, 2025Updated last year
- Code for Learning to select data for transfer learning with Bayesian Optimization☆174Nov 30, 2017Updated 8 years ago
- Domain Adaptations for Video Recognition☆13Dec 10, 2013Updated 12 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Implementation of the SER-STRUCT algorithm to perform Transfer Learning in Random Forest☆34Nov 24, 2016Updated 9 years ago
- Explored synthetic minority oversampling procedure (SMOTE) and AdaBoost for image classification.☆16Jan 31, 2016Updated 10 years ago
- Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms☆174Jun 3, 2016Updated 9 years ago
- Decision Tree implementation in Python for EECS 349, based on C4.5 algorithm.☆10Feb 12, 2016Updated 10 years ago
- A Bayesian Data Augmentation Approach for Learning Deep Models in Keras. Here is the link to a pytorch version: https://github.com/toant…☆25Oct 4, 2017Updated 8 years ago
- Joint Distribution Adaptation ICCV2013☆15Aug 13, 2017Updated 8 years ago
- Unfinished Work: Implementation of Multi-Adversarial Domain Adaptation (https://arxiv.org/abs/1809.02176) in Pytorch☆16Dec 6, 2019Updated 6 years ago
- [DEPRECATED] Please move to https://github.com/thuml/transfer-caffe☆18Jul 3, 2017Updated 8 years ago
- Hierarchical Transfer Component Analysis and Hierarchical Joint Domian Adaption are implemented in this repository.☆21Aug 24, 2018Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- PSO-SA - a hybrid Particle Swarm Optimization and Simulated Annealing algorithm for automatic AI algorithm selection and tuning (for skle…☆13Aug 30, 2019Updated 6 years ago
- Deep Transfer Learning codes using Google TensorFlow☆13Apr 4, 2016Updated 9 years ago
- Basic PyTorch Implementation of 'Neural Architecture Search with Reinforcement Learning' (https://arxiv.org/abs/1611.01578)☆13Feb 24, 2018Updated 8 years ago
- Transfer Learning Library☆463Apr 9, 2021Updated 4 years ago
- MatConvNet: CNNs for MATLAB☆51Jun 26, 2017Updated 8 years ago
- Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)☆1,771Aug 25, 2023Updated 2 years ago
- Resources and Implementations of Generative Adversarial Nets which are focusing on how to control the generated images.☆11Apr 29, 2017Updated 8 years ago
- Neural Collaborative Filtering for CSCE670☆14May 4, 2017Updated 8 years ago
- Sklearn implement of multiple ensemble learning methods, including bagging, adaboost, iterative bagging and multiboosting☆13Jan 9, 2018Updated 8 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- 蚂蚁金服NLP问题相似度计算比赛☆18Nov 15, 2022Updated 3 years ago
- Use tensorflow.contrib.slim to training a simple CNN classification model☆37Nov 6, 2018Updated 7 years ago
- Wide and Deep Learning implemented with Keras☆38Nov 20, 2018Updated 7 years ago
- 本代码将用极端随机森林(Extremely Random Forests, ERF)来训练图像分类器。一个目标识 别系统就是利用图像分类器将图像分到已知的类别中。 ERF在机器学习领域非常流行,因为ERF 具有较快的速度和比较精确的准确度。我们基于图像的特征构建一组决策树,…☆10Oct 19, 2017Updated 8 years ago
- The official implementation of Hard Negative Sampling via Large Language Models for Recommendation.☆11Jan 17, 2026Updated 2 months ago
- Domain-Adaptive Multibranch Networks☆14Nov 7, 2020Updated 5 years ago
- Implementation of Convolutional Recurrent Neural Network (CRNN) to decode motor imagery EEG data.☆12Mar 25, 2023Updated 3 years ago