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Master neural networks from scratch with Python

Building neural networks from scratch in Python with NumPy is one of the most effective ways to internalize deep learning fundamentals. By coding forward and backward propagation yourself, you see how ...
IEEE

Multi-Strategy Improved Whale Optimization Algorithm – Back Propagation Neural Network Damping Prediction Model

Abstract: To address the low damping prediction accuracy of shrouded turbine blades, this study proposes an improved Whale Optimization Algorithm-Back Propagation (IWOA-BP) neural network model. The ...
GitHub

Python implementation of the TurboQuant and QJL vector quantization algorithms.

turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...