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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

Implementation of Glowworm Swarm Optimization-SVM Method for Predicting Antiproliferative Activity Against MDA-MB-231 Cell Line

Abstract: Breast cancer remains one of the leading causes of mortality worldwide, particularly among women, with more than 300,000 new cases reported annually. Conventional drug screening for ...
IEEE

Optimizing Fish Classification with a Hybrid SAE-SVM Model: Performance and Evaluation on Fish-gres and Fish4-Knowledge Datasets

Abstract: Accurate classification of fishes is thus very important in marine biology for species identification, biodiversity monitoring, and ecological studies. Most typical methods used are manual ...
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 ...