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Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.
A Tensorfflow implementation of Attend, Infer, Repeat
Unsupervised Image to Image Translation with Generative Adversarial Networks
Redspot is an Substrate pallet-contracts (ink!) development environment. Compile your contracts and run them on a different networks. Redspot's core forks from Hardhat but changed a lot to suit substrate.
CLI tool to monitor downstream load on DOCSIS cable networks
This project is designed to create deceptive webpages to deceive and redirect attackers away from real websites.
InsNet Runs Instance-dependent Neural Networks with Padding-free Dynamic Batching.
The Security Analyst’s Guide to Suricata
Light API for EOSIO networks
Keras4Delphi is a high-level neural networks API, written in Pascal with Python Binding
A Swift PlaygroundBook about Neural Networks
Simple convolutional highway networks using TensorFlow.
Wasm smart contract networks powered by Substrate FRAME Contracts pallet in Polkadot ecosystem.
Towards Reverse-Engineering Black-Box Neural Networks, ICLR'18
My algorithmic trading strategies with the Gekko cryptocurrency trading bot.
A fast, simple, memory-efficient graph layout algorithm for visualizing networks in D3
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
Working with time-dependent networks in Julia
ruby-dnn is a ruby deep learning library.
Kibana 7 Templates for Suricata IDPS Threat Hunting
A Python toolkit for quantum neural networks.
Kibana 5 Templates for Suricata IDPS
Cryptographic Dataset Generation & Modelling Framework
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