Pinned Repositories
ADBench
Official Implement of "ADBench: Anomaly Detection Benchmark".
BHT-ARIMA
Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)
blockchain-anomaly-detection
course-intro-to-matlab
Introduction to Matlab course for the CM Hub at Imperial College
csml-reading-group
Computational statistics and machine learning reading group at Imperial College London (2019-2020)
dpm-coursework
:orange_book: Materials for EE4-13 Adaptive Signal Processing and Machine Intelligence (2019-2020)
exploratory-data-analysis-in-Python
In this project, we will see in a hands-on training jupyter notebook how to effectively diagnose and deal with missing data in Python.
hottbox-tutorials
:orange_book: HOTTBOX: Higher Order Tensors ToolBOX. Tutorials
Imperial-RCDS-intro-to-machine-learning
Imperial College London / Graduate School / Data Science / Introduction to Machine Learning
Introduction-to-LaTeX
SadiaSharmin's Repositories
SadiaSharmin/ADBench
Official Implement of "ADBench: Anomaly Detection Benchmark".
SadiaSharmin/anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
SadiaSharmin/BHT-ARIMA
Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)
SadiaSharmin/blockchain-anomaly-detection
SadiaSharmin/course-intro-to-matlab
Introduction to Matlab course for the CM Hub at Imperial College
SadiaSharmin/csml-reading-group
Computational statistics and machine learning reading group at Imperial College London (2019-2020)
SadiaSharmin/dpm-coursework
:orange_book: Materials for EE4-13 Adaptive Signal Processing and Machine Intelligence (2019-2020)
SadiaSharmin/exploratory-data-analysis-in-Python
In this project, we will see in a hands-on training jupyter notebook how to effectively diagnose and deal with missing data in Python.
SadiaSharmin/hottbox-tutorials
:orange_book: HOTTBOX: Higher Order Tensors ToolBOX. Tutorials
SadiaSharmin/Imperial-RCDS-intro-to-machine-learning
Imperial College London / Graduate School / Data Science / Introduction to Machine Learning
SadiaSharmin/Introduction-to-LaTeX
SadiaSharmin/Introduction-to-Python
SadiaSharmin/Numerical-Computing-in-Python-with-NumPy-and-SciPy
SadiaSharmin/NurseCareActivityRecognition
SadiaSharmin/Object-Oriented-Python
SadiaSharmin/PHP
SadiaSharmin/Profiling-and-Optimisation-in-Python
SadiaSharmin/pyod
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
SadiaSharmin/Python
SadiaSharmin/pytod
TOD: GPU-accelerated Outlier Detection via Tensor Operations
SadiaSharmin/RandomMethods
SadiaSharmin/RCDS-intro-to-containers
SadiaSharmin/TODS-TimeSeriesAnomaly
TODS: An Automated Time-series Outlier Detection System
SadiaSharmin/UEFHT
SadiaSharmin/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
SadiaSharmin/iut-cse.github.io
Home for IUT CSE GitHub
SadiaSharmin/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
SadiaSharmin/pysad
Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
SadiaSharmin/vis
Mapped-based data visualisations, often of London and/or transport/transit.