A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
python
machine-learning
tutorial
data-science
gpu
big-data
catboost
categorical-features
coreml
cuda
data-mining
decision-trees
gbdt
gbm
gpu-computing
gradient-boosting
kaggle
r
Updated 2024-07-02 08:28:16 +03:00
Website for the Urbit Foundation's developer program
Updated 2023-11-06 18:30:22 +03:00
An opinionated list of resources for learning Haskell
Updated 2022-03-26 19:26:40 +03:00