yuliusd Goto Github PK

anomaly-detection

Anomaly Detection model uses Spark for training and Spark Streaming for testing

awesome-fraud-detection-papers

A curated list of data mining papers about fraud detection.

car-damage-detective

Assessing car damage with convolution neural networks for a personal auto claims expedition use case

car-damage-detector

Detect dents and scratches in cars. Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow.

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).

credit-card-fraud-detection-spark

A real time streaming implementation of markov chain based fraud detection

credit-card-fraud-prediction

Used machine learning algiorthms (logistic regression,smote,xgboost) to optimize accurate predication.Main goal was to minimize incorrect fraud Predictions

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-engineering-on-gcp-cheatsheet

data-wrangling

data-wrangling-with-python

Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices

data_csv

input_keras

dataflowtemplates

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

deep-learning

deep-learning-approach-for-surface-defect-detection

（最先进的缺陷检测网络） A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-models

Keras code and weights files for popular deep learning models.

deeplearning-biology

A list of deep learning implementations in biology

defect-detection-classifier

Visual Defect Detection on Boiler Water Wall Tube Using Small Dataset

edge-tpu-servers

Object and face recognition using Google's edge TPU

facenet

Face recognition using Tensorflow

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

faster-rcnn_tf

Faster-RCNN in Tensorflow

faster_rcnn_for_open_images_dataset_keras

Faster R-CNN for Open Images Dataset by Keras

five-video-classification-methods

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

fraud-detection-using-deep-learning

fraud_detection_in_python

Fraud Detection in Python, DataCamp course

fraud_detector

Fraud Detection using ensemble of Statistical, Network analysis and Machine learning approach.

frcnn-from-scratch-with-keras

Faster R-CNN from scratch written with Keras