Showing 6 of 6 projects
A PyTorch wrapper that automates engineering boilerplate for scalable AI model training and deployment.
A deep learning framework to pretrain and finetune any AI model at any scale with zero code changes.
A flexible Python deep learning framework using define-by-run dynamic computational graphs for neural network research.
A toolkit for distributed machine learning featuring parameter server framework, topic modeling, gradient boosting, and word embedding.
A Pascal-based deep learning neural network API optimized for AVX/AVX2/AVX512 and OpenCL, supporting AMD, Intel, and NVIDIA hardware.
A scikit-learn compatible Python library for probabilistic regression, survival analysis, and probability distributions.
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