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gpu-computing

machine-learning
python
r
gbdt
gbm
decision-trees
gradient-boosting
catboost
categorical-features
tutorial
data-science
big-data
kaggle
gpu
coreml
deep-learning
nim
multidimensional-arrays
cudnn
parallel-computing
openmp
ndarray
neural-networks
high-performance-computing
opencl
cuda
linear-algebra
matrix-library
tensor

catboost/catboost
502日前7.6k

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.

gpu-computing
python
r
gbdt
gbm
decision-trees
gradient-boosting
catboost
categorical-features
tutorial
data-science
machine-learning
big-data
kaggle
gpu
coreml

mratsim/Arraymancer
505日前1.2k

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

deep-learning
nim
multidimensional-arrays
cudnn
gpu-computing
parallel-computing
openmp
ndarray
machine-learning
neural-networks
high-performance-computing
opencl
cuda
linear-algebra
matrix-library
tensor