A privacy-preserving flood forecasting system that leverages Federated Learning to aggregate predictive models across distributed weather stations without sharing raw localized data.
Learning about SNNs, ANNs, and FNNs and other things.
A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.
A NumPy-based deep learning library for building neural networks. It features an automatic differentiation engine and supports training architectures like LSTM, CNN, and FNN.
FiNNi is a forwardfeed neural network
∑ Adaptive Neuro Fuzzy Inference System Implementation.
Software built using Python which makes use of CNN and FNN to detect the Taals of the Tabla, an Indian classical music instrument. 🎛️
A Proximal Policy Optimization Approach to Detect Spoofing in Algorithmic Trading
A machine learning library coded from scratch with demos.
LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
Milwaukee Bucks Game Outcome Prediction using Tensorflow
Neural network implementation from scratch through a Keras-like API in Python
CTR模型代码和学习笔记总结
Basic implementation of FNN and RBF neural networks using tensorflow.
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