Adebayo Akinlalu (aakinlalu)

aakinlalu

Geek Repo

Company:Airmaster

Location:Melbourne, Australia

Home Page:www.codestreet.ai

Twitter:@aakinlalu

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Adebayo Akinlalu's repositories

GenerativeAI

Series of generative artificial intelligence (AI) for creating new content, including audio, code, images, text, simulations, and videos.

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textlabelling

Textlabelling is a tool built on spacy to label text for NER and train with deep learning

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Question-and-Answers-Classification-using-Keras-and-MLflow

Using supervised learning to train Questions to identify Answers

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TimeSeries-Anomaly-App

Simple machine learning framework for Timeseries application to identify anomaly in dataset using Machine learning and Deep neural network

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Volume-Based-Anomaly-Detection-Notification-using-IsolationForest-and-MLFlow

Use Isolation Forest and MLflow to prototype anomaly detection that could send email notification if there is any slight anomaly or empty.

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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Food-Review-Classification

Train a model to class food review sentiments

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Imageobject-Classification-Detection

Notebooks to fine-tune Yolov5 and Yolov8 and export model for JavaScript deployment

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PythonDataScienceHandbook

Jupyter Notebooks for the Python Data Science Handbook

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LiveChat

Livechat provides sentiment of user live text and identify entities in the text

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Agile_Data_Code

Chapter-wise code for Agile Data the O'Reilly book

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aitooling

llm function tool and AI agent

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COVID-Q

COVID-19 Question Dataset from the paper "What Are People Asking About COVID-19? A Question Classification Dataset"

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GDELT-ML-project

How low code machine learning library can speed up machine learning project

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Instruction-tune-Llama2

Create a model which can create instructions based on input

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leafmap

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

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sentiment

simple semtiment model with fastapi endpoint

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ThinkStats2

Text and supporting code for Think Stats, 2nd Edition

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