mkaytan Goto Github PK
Type: User
mkaytan's Projects
credit-card-fraud-detection-using-autoencoders-in-keras
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
dask-examples
Easy-to-run example notebooks for Dask
deep-learning-for-hackers
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
django-cms
The easy-to-use and developer-friendly enterprise CMS powered by Django
getting-things-done-with-pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
horovod-practice
A distributed training practice using horovod.
learn-python
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
machine-learning-experiments
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
machine-learning-from-scratch
Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
mkaytan
Config files for my GitHub profile.
present
Code from Jeff Heaton's YouTube videos, articles, and conference presentations.
state-of-the-art-shitcode
💩State-of-the-art shitcode principles your project should follow to call it a proper shitcode
telemanom
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
tensorflow-on-android-for-human-activity-recognition-with-lstms
iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android
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