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24 search results found
Flax
⭐
5,144
Flax is a neural network library for JAX that is designed for flexibility.
Bloodhound Tools
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404
Collection of tools that reflect the network dimension into Bloodhound's data
Ai_papers
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254
AI Papers
Css_sql_networking_tools
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133
Tools used by the SQL Networking Customer Support Team
Ane Network Info
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96
Air Native Extension (iOS and Android) for getting Network Information
Teamsacs
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44
TeamsACS exclusively serves Mikrotik's TR069 ACS server
Lolanalyzer
⭐
35
Using machine learning to find the best pick in a draft (League of Legends)
Agreements
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28
Formal agreements governing the Enspiral network
Koth
⭐
14
king of the hill cybersecurity competition
Team_neural_network
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12
Neural Network of enhancer regions
Safenetworking
⭐
12
Read only mirror. To contribute or submit issues, please go to the website link --->
Msft.network.diag
⭐
12
Manifest module containing Network Diagnosis tools from the Core Networking team at Microsoft
Rpki As0 Bogons
⭐
9
SLURM file generator for bogons with AS0 as origin
Brainnet Ml Toolbox
⭐
9
Python Machine Learning Toolbox for Brain Network Classification. Source codes are included of the top 20 teams in the Kaggle competition.
Team Tensorflow
⭐
8
Repository of Team TensorFlow
Senet
⭐
8
Squeeze-and-Excitation Networks, a new architecture building block proposed by WMW team at ILSVRC2017 challenges
Manual
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8
Group Project Contest 1
⭐
8
Group project contest #1 for the Fullstack Network community
Demolib2
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8
C++ Re-implementation of the complete demo and network parsing codeset for Team Fortress 2
Tools
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7
CTF tools and scripts (Can be used in CTFs or PenTest..)
Teamformation
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6
Experimental study on team formation problem.
Wts
⭐
5
Scenario-based WiFi Network Threat Simulation
Afootball
⭐
5
Small project using ANNeML neural networks to predict NFL games
Reinforcement_learning_team_q_learnig_marl_multi_agent_uav_spectrum_task
⭐
5
A solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning Approach
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