bradraj
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Code repository for the book 'Machine Learning in Python for Process and Equipment Condition Monitoring, and Predictive Maintenance'
PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
Real-time stream processing for python
Automatic extraction of relevant features from time series:
In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.
Data Science project: forecasting indoors temperature, humidity, and CO2 levels using the local weather forecast
Paper to Code automates the incorporation of research paper concepts into practical code using OpenAI's GPT models, bridging theory and implementation.
Repository for the LLMOps RAG with Airflow + Weaviate Learn use case.
Machine Learning Toolkit for Kubernetes
A live stream development of RL tunning for LLM agents
No fortress, purely open ground. OpenManus is Coming.
Synthetic Minority Over-Sampling Technique for Regression
A collection of Notebooks for doodling and testing out different codes.
FEMR (Framework for Electronic Medical Records) provides tooling for large-scale, self-supervised learning using electronic health records
ICML 2018: "Adversarial Time-to-Event Modeling"
A handy navigation pane for Jupyter Notebook that follows markdown headers
Suite of Python tools to work with OpenFAST
a general library for fatigue and reliability
Package to estimate life of random fatigue history with frequency domain methods
[ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
A jupyter notebook serverextension providing config interfaces for nbextensions.
This project analyzes the relationship between the Market Mood Index (MMI) and the NIFTY Index from 2012 to 2024. By applying various statistical and machine learning techniques, the analysis aims …
Jupyter extension to display CPU and GPU power usage and equivalent CO2 emissions