A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
APACHE-2.0 License
Differentiable Factor Graph Optimization for Learning Smoothers @ IROS 2021
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
A python library for decision tree visualization and model interpretation.
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
A library to train, evaluate, interpret, and productionize decision forest models such as Random ...
A library of extension and helper modules for Python's data analysis and machine learning libraries.
BigDL: Distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray
The machine learning toolkit for time series analysis in Python
A collection of research papers on decision, classification and regression trees with implementat...
Scikit-learn compatible decision trees beyond those offered in scikit-learn
GLM (General Language Model)
A flexible package for multimodal-deep-learning to combine tabular data with text and images usin...
Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework ...
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-co...