Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Computer Science Resources | 2,227 | 6 months ago | 9 | |||||||
A list of resources in different fields of Computer Science | ||||||||||
Poseidon | 405 | 2 | a month ago | 25 | September 19, 2022 | 1 | apache-2.0 | Python | ||
Poseidon is a python-based application that leverages software defined networks (SDN) to acquire and then feed network traffic to a number of machine learning techniques. The machine learning algorithms classify and predict the type of device. | ||||||||||
Everything Tech | 372 | 2 years ago | apache-2.0 | Go | ||||||
A collection of online resources to help you on your Tech journey. | ||||||||||
Computer_science | 175 | 4 months ago | 27 | mit | Jupyter Notebook | |||||
Computer Science Topics | ||||||||||
Handpose Facemesh Demos | 122 | 4 years ago | 3 | JavaScript | ||||||
🎥🤟 8 minimalistic templates for tfjs mediapipe handpose and facemesh | ||||||||||
Gnnetworkingchallenge | 57 | 10 months ago | 2 | apache-2.0 | ||||||
RouteNet baseline for the Graph Neural Networking Challenge (https://bnn.upc.edu/challenge/) | ||||||||||
Cse Resources | 48 | 2 years ago | ||||||||
A collection of curated resources for learning Computer Science subjects and skills, that I garnered throughout my tenure as a CSE student. Contributions, and report of broken links are welcome. | ||||||||||
Netml | 45 | 6 months ago | 15 | October 25, 2023 | 5 | apache-2.0 | Python | |||
Feature Extraction and Machine Learning from Network Traffic Traces | ||||||||||
Face Recogntion Detection | 30 | 4 years ago | n,ull | epl-2.0 | Python | |||||
Face Recognition/Detection (image/video) using skin tone threshold algorithm, haar cascade for face detection and LBPH for face recognition. It also implements the concept of multithreaded server with multiple clients. | ||||||||||
Net_intrusion_detection | 27 | 9 months ago | Jupyter Notebook | |||||||
Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution |