Machine Learning based Side Channel Attacks applied to portable ECG monitoring devices
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Updated
Jun 28, 2024 - Python
Machine Learning based Side Channel Attacks applied to portable ECG monitoring devices
Projects and certificates from a machine learning course focused on TensorFlow and Keras, covering neural networks, CNNs, NLP, and time series analysis 🧠
Training neural network potentials
Official site of Biophys group at Unito
The Hellenic Complex Systems Laboratory (HCSL) GitHub repository.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference
Brevitas: neural network quantization in PyTorch
Web AI
High-efficiency floating-point neural network inference operators for mobile, server, and Web
PhD Candidate in Artificial Intelligence. Applying machine learning to fish oil analysis.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Basic Program Repo for Neural Networks, code written in python, starting from elementary concepts.
Bringing heterogenous hardware acceleration to Kotlin machine learning
A resource-conscious neural network implementation for MCUs
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)
Decentralized Asynchronous Training on Heterogeneous Devices
Open-source framework for uncertainty and deep learning models in PyTorch 🌱
Darknet/YOLO object detection framework
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