Showing 1-9 of 9 projects
A GPU-accelerated NumPy & SciPy library for high-performance scientific computing
A flexible, high-performance deep learning framework for Python that runs on GPUs.
An introduction to building deep neural networks using Keras and TensorFlow for Python developers.
Deep learning library for Rust with shape-checked tensors and neural networks
A Kaggle competition solution for predicting web traffic using RNNs and time series analysis.
SCUDA is a GPU over IP bridge allowing GPUs on remote machines to be attached to CPU-only machines.
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices.
A PyTorch implementation of the Quasi-Recurrent Neural Network, up to 16x faster than cuDNN LSTM.
Safe Rust wrapper around the CUDA toolkit for GPU acceleration in AI/ML applications.
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