Abiodun Ayodeji's Projects
Config files for my GitHub profile.
Attention-based multihead model for optimized aircraft engine remaining useful life prediction
A curated list of references for MLOps
A curated list of open source projects used in nuclear science and engineering
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Free Data Engineering course!
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Official Code for DragGAN (SIGGRAPH 2023)
LSTM-GAN for generate plausible ECG signals
Automatic Target Recognition model for Synthetic Aperture Radar Images
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
starter from "How to Train a GAN?" at NIPS2016
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Turn (almost) any Python command line program into a full GUI application with one line
Google Research
Provides situational awareness of Industrial Control Systems (ICS) and Supervisory Control and Data Acquisition (SCADA) networks in support of network security assessments. #nsacyber
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Write your own LOTR story with LORA BLOOM-3B
Implementing a ChatGPT-like LLM from scratch, step by step
Free MLOps course from DataTalks.Club
Models and examples built with TensorFlow
This is a repository of sample codes and implementation framework for industrial machine predictive maintenance tasks using deep learning models.
Build ChatGPT over your data, all with natural language
Time series forecasting with scikit-learn models
Time series data structure learning with NOTEARS and DYNOTEARS