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Cytochrome P450 site of metabolism prediction from 2D topological fingerprints using GPU accelerated probabilistic classifiers

J.D. Tyzack, H.Y. Mussa, M.J. Williamson,J. Kirchmair, R.C. Glen.

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Tags: Biochemistry, CUDA, Machine learning, nVidia, nVidia GeForce GT 640, nVidia Tesla C2075

May 31, 2014 by hgpu

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high performance computing on graphics processing units: hgpu.org

Cytochrome P450 site of metabolism prediction from 2D topological fingerprints using GPU accelerated probabilistic classifiers

Recent source codes

ZZGemmOoc: GPU GEMM out-of-core solvers

LM-LSTM-CRF: Efficient and Effective: Empower Sequence Labeling with Task-Aware Language Model

styletransfer: Real-time neural style transfer via meta networks

End-to-end Deep Learning of Optimization Heuristics

Harp-DAAL: A collective communication library plugined into Hadoop from Indiana University

Real-Time Rendering of Molecular Dynamics Simulation Data: A Tutorial

eccCL: Parallelized GPU implementation of Ensemble Classifier Chains

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Gpufit: GPU-accelerated Levenberg-Marquardt curve fitting in CUDA

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