LAMDA-NJU / Deep-Forest
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
☆908Updated 4 months ago
Related projects: ⓘ
- (AAAI' 20) A Python Toolbox for Machine Learning Model Combination☆641Updated last year
- This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'☆1,309Updated 3 years ago
- [ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用,高效,鲁棒的类别不平衡学习框架☆249Updated 7 months ago
- SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks☆646Updated last month
- 🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库☆308Updated 3 months ago
- Python implementation of deep forest method : gcForest☆417Updated 6 years ago
- Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet☆604Updated last year
- fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具☆1,463Updated 8 months ago
- List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章,主要包含基于机器学习的算法☆470Updated 4 years ago
- A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.☆262Updated 2 months ago
- (MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)☆377Updated 7 months ago
- ThunderGBM: Fast GBDTs and Random Forests on GPUs☆690Updated 7 months ago
- open-source feature selection repository in python☆1,497Updated 2 months ago
- Features selector based on the self selected-algorithm, loss function and validation method☆672Updated 5 years ago
- Basic data mining model, including feature importance display☆459Updated last month
- Metric learning algorithms in Python☆1,395Updated last month
- Open-source implementation of Google Vizier for hyper parameters tuning☆1,543Updated 4 years ago
- YLearn, a pun of "learn why", is a python package for causal inference☆395Updated 3 weeks ago
- mtgbmcode☆164Updated 2 years ago
- [译]tsfresh特征提取工具可提取的特征☆94Updated 5 years ago
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆240Updated 4 years ago
- XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions☆296Updated 7 months ago
- Research on Tabular Deep Learning: Papers & Packages☆870Updated last month
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆704Updated 3 years ago
- 😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切:论文、代码、框架与库☆1,345Updated 4 months ago
- Ensemble learning related books, papers, videos, and toolboxes☆286Updated 4 years ago
- 《迁移学习简明手册》LaTex源码☆2,474Updated last year
- A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection fea…☆625Updated 8 months ago
- PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf☆2,596Updated this week
- Machine learning for transportation data imputation and prediction.☆1,187Updated last year