robbss's repositories

18S096SciML

18.S096 - Applications of Scientific Machine Learning

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1806

18.06 course at MIT

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18303

18.303 - Linear PDEs course

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18330

18.330 Intro to Numerical Analysis

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18369

18.369/8.315 - Mathematical Methods in Nanophotonics course

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6S083

Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic

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anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

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aria2

aria2 is a lightweight multi-protocol & multi-source, cross platform download utility operated in command-line. It supports HTTP/HTTPS, FTP, SFTP, BitTorrent and Metalink.

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chineseocr

yolo3+ocr

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Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

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cyber_ml

Implementation of several algorithms for Network Anomaly Detection on UNSW-NB15 Dataset

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data-science-from-scratch

code for Data Science From Scratch book

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deeplearning_ai_books

deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)

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GloVe

GloVe model for distributed word representation

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

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Intrusion-Detection-Systems

This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security".

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kdd-cup-99-python

Analysis and preprocessing of the kdd cup 99 dataset using python and scikit-learn

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keras

Deep Learning for humans

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MTH_4115

Numerical Analysis, 2nd Edition (9780321783677): Timothy Sauer. Course notes and code assignments.

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Network-Intrusion-Detection-1

Machine Learning with the NSL-KDD dataset for Network Intrusion Detection

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OpenCourseCatalog

Bilibili 公开课目录

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PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

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pytorch-generative-model-collections

Collection of generative models in Pytorch version.

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REKCARC-TSC-UHT

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

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SAR_yolov3

Best Accruacy:speed ratio SAR Ship detection in the world.

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Time-related-Intrusion-Detection-Model-based-on-Recurrent-Neural-Network

Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.

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TTKOCR

OCR 识别图片以及PDF中的文字, based on Qt for windows and linux.

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unsw-nb15

Network intrusion detection

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