Diandra Y G P's repositories
awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
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).
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.
data_csv
input_keras
DataflowTemplates
Google-provided Cloud Dataflow template pipelines for solving simple in-Cloud data tasks
edge-tpu-servers
Object and face recognition using Google's edge TPU
facenet
Face recognition using Tensorflow
Fraud_Detection_in_Python
Fraud Detection in Python, DataCamp course
frcnn-from-scratch-with-keras
Faster R-CNN from scratch written with Keras
frigate
Realtime object detection on RTSP cameras with the Google Coral
GCP-Data-Engineer-Study-Guide
GCP-Data-Engineer-Study-Guide
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
handson-unsupervised-learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
ImageAI
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
keras-retinanet
Keras implementation of RetinaNet object detection.
professional-services
Common solutions and tools developed by Google Cloud's Professional Services team
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].
pyod
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
PyScrappy
All-in-one Web Scrapper for Python
pytorch-retinanet
Pytorch implementation of RetinaNet object detection.
realtime_object_detection
Plug and Play Real-Time Object Detection App with Tensorflow and OpenCV. No Bugs No Worries. Enjoy!
temporal-shift-module
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
wine-cml
wine prediction dataset
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!