LAMDA-NJU / Deep-Forest
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
☆934Updated 9 months ago
Alternatives and similar repositories for Deep-Forest:
Users that are interested in Deep-Forest are comparing it to the libraries listed below
- This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'☆1,309Updated 4 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☆255Updated last year
- Python implementation of deep forest method : gcForest☆422Updated 6 years ago
- SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks☆648Updated 6 months ago
- 🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库☆352Updated 8 months ago
- (AAAI' 20) A Python Toolbox for Machine Learning Model Combination☆646Updated 2 years ago
- ThunderGBM: Fast GBDTs and Random Forests on GPUs☆693Updated last year
- [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression☆854Updated 2 years ago
- XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions☆315Updated last year
- mtgbmcode☆168Updated 2 years ago
- Ensemble learning related books, papers, videos, and toolboxes☆292Updated 5 years ago
- Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet☆616Updated last year
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆704Updated 4 years 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☆478Updated 5 years ago
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆249Updated 5 years ago
- A feature engineering kit for each issue, to give you a deeper and deeper understanding of the work of feature engineering!☆673Updated 4 years ago
- 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☆1,501Updated last year
- Github开源项目hyperopt系列的中文文档,以及学习教程等☆163Updated 4 years ago
- 《迁移学习简明手册》LaTex源码☆2,497Updated last year
- ☆249Updated 3 years ago
- Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。☆107Updated 3 years ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆742Updated 3 years ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,682Updated last week
- Metric learning algorithms in Python☆1,408Updated 6 months ago
- A practical feature engineering handbook☆321Updated 4 years ago
- XGBoost 中文文档☆564Updated last year
- ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze t…☆873Updated 2 years ago
- A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch☆1,321Updated 3 months ago
- Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate no…☆157Updated 4 months ago
- [译]tsfresh特征提取工具可提取的特征☆95Updated 5 years ago