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advanced-deep-trading

Mostly experiments based on "Advances in financial machine learning" book

amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

ambar

:mag: Ambar: Document Search Engine

anaconda3

Anaconda3, Jupyter Notebook, OpenCV3, TensorFlow and Keras2 for Deep Learning🐳

anomalous-vertices-detection

Novel anomalous vertices detection method.

anomaly-detection

Scripts to help to detect anomalies in pcap file. Anomaly Detection using tensorflow and tshark.

attention_keras

Keras Layer implementation of Attention

awesome-cybersecurity-datasets

A curated list of amazingly awesome Cybersecurity datasets

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. New PR ☛☛☛

bert

TensorFlow code and pre-trained models for BERT

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

cli

General command-line interface related information

cnn_finetune

Fine-tune CNN in Keras

cookbook

The Data Engineering Cookbook

covid19-plots

Plotly plots of COVID19 cases

deep-learning-coursera

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

deep-trading

Algorithmic trading with deep learning experiments

deeplog

deeplog-1

Pytorch implementation of DeepLog.

deeplog-instroduction

DeepLog-Anomaly Detection and Diagnosis from System Logs through Deep Learning

derplog

Implementation of the DeepLog anomaly detection system

developer-roadmap

Roadmap to becoming a web developer in 2018

devol

Automated deep neural network design via genetic algorithms

docker

Docker and friends

docker-course-xgboost

Materials for an online-course - "Practical XGBoost in Python"

domain_generation_algorithms

Some results of my DGA reversing efforts

education

Materials for my lectures and for self-study in machine learning

faster_rcnn_for_open_images_dataset_keras

Faster R-CNN for Open Images Dataset by Keras