Gradient Boosting powered by GPU(NVIDIA CUDA)
OTHER License
pip install arboretum
Benchmark results
ML hyperparameters tuning and features selection, using evolutionary algorithms.
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep ne...
Tools for simple inference testing using TensorRT, CUDA and OpenVINO CPU/GPU and CPU providers. S...
DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is h...
A Tiny, Pure Python implementation of Gradient Boosted Trees.
All the Workings for GSOC-2019
Fast Convergence of Conjugate Gradients in Sparse Gaussian Processes
Solvers/annealers for simulated quantum annealing on CPU and CUDA(NVIDIA GPU).
Experimental Gradient Boosting Machines in Python with numba.
General boosting framework for any regression estimator
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework ...
Basic Machine Learning and Deep Learning
CodeAssist is an advanced code completion tool that provides high-quality code completions for Py...
GPU Accelerated t-SNE for CUDA with Python bindings