Diandra Y G P's repositories

Gemini-RAG

Chatbot that uses Gemini-1.0-Pro to answer questions, with memory by using LangChain. Also, it's enriched by RAG and deployed in Dialogflow

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wine-cml

wine prediction dataset

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PyScrappy

All-in-one Web Scrapper for Python

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temporal-shift-module

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

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dash-predictive-maintenance

Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To predict the date when equipment will completely fail (RUL), XGBoost is used and achieved RMSE error is 0.033964 days, which is highly accurate.

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awesome-fraud-detection-papers

A curated list of data mining papers about fraud detection.

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PyNomaly

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

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pyod

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

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DataflowTemplates

Google-provided Cloud Dataflow template pipelines for solving simple in-Cloud data tasks

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professional-services

Common solutions and tools developed by Google Cloud's Professional Services team

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Credit-Card-Fraud

Identify fraudulent credit card transactions so that customers are not charged for items that they did not purchase. (Python, Logistic Regression Classifier, Unbalanced dataset).

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Fraud_Detection_in_Python

Fraud Detection in Python, DataCamp course

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xgboost-smote-detect-fraud

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

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edge-tpu-servers

Object and face recognition using Google's edge TPU

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facenet

Face recognition using Tensorflow

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frigate

Realtime object detection on RTSP cameras with the Google Coral

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ImageAI

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

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CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

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frcnn-from-scratch-with-keras

Faster R-CNN from scratch written with Keras

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data_csv

input_keras

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keras-retinanet

Keras implementation of RetinaNet object detection.

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pytorch-retinanet

Pytorch implementation of RetinaNet object detection.

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handson-unsupervised-learning

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

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GCP-Data-Engineer-Study-Guide

GCP-Data-Engineer-Study-Guide

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realtime_object_detection

Plug and Play Real-Time Object Detection App with Tensorflow and OpenCV. No Bugs No Worries. Enjoy!

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