mitrofanov-m's Stars
openai/whisper
Robust Speech Recognition via Large-Scale Weak Supervision
abhisheknaiidu/awesome-github-profile-readme
😎 A curated list of awesome GitHub Profile which updates in real time
charmbracelet/vhs
Your CLI home video recorder 📼
alexeygrigorev/data-science-interviews
Data science interview questions and answers
alteryx/featuretools
An open source python library for automated feature engineering
stamparm/maltrail
Malicious traffic detection system
rapidsai/cuml
cuML - RAPIDS Machine Learning Library
shramos/Awesome-Cybersecurity-Datasets
A curated list of amazingly awesome Cybersecurity datasets
nemesida-waf/waf-bypass
Check your WAF before an attacker does
ikatsov/tensor-house
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
amaiya/ktrain
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
paulvangentcom/heartrate_analysis_python
Python Heart Rate Analysis Package, for both PPG and ECG signals
echowei/DeepTraffic
Deep Learning models for network traffic classification
JulesBelveze/time-series-autoencoder
PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
shobrook/sequitur
Library of autoencoders for sequential data
faizann24/Fwaf-Machine-Learning-driven-Web-Application-Firewall
Machine learning driven web application firewall to detect malicious queries with high accuracy.
alexey-goloburdin/debian-set-up-for-django
Set up clean Django server for Django projects. Nginx, Gunicorn, Django, Python 3.7, PostgreSQL, Supervisor
gecko984/supervenn
supervenn: precise and easy-to-read multiple sets visualization in Python
PacktPublishing/Machine-Learning-for-Cybersecurity-Cookbook
Machine Learning for Cybersecurity Cookbook, published by Packt
ANSSI-FR/SecuML
Machine Learning for Computer Security
RaRe-Technologies/movie-plots-by-genre
Movie plots by genre tutorial at PyData Berlin 2016
PositiveTechnologies/seq2seq-web-attack-detection
The implementation of the Seq2Seq model for web attack detection. The Seq2Seq model is usually used in Neural Machine Translation. The main goal of this project is to demonstrate the relevance of the NLP approach for web security.
qa276390/Encrypted_Traffic_Classification
using deep learning to classify the encrypted network traffic
chrisvdweth/ml-toolkit
greenwolf-nsk/yandex-cup-2022-recsys
2nd place solution for Next Like prediction task
hellojinwoo/TorchCoder
PyTorch based autoencoder for sequential data
DmitriiShubin/SBD
Sub-Band Decomposition for Deep Networks applied to Time-series (Pytorch)
dazzle-me/yandex-cup-2022-1st-place-solution
1st place solution of ML Audio Content track of Yandex Cup 2022
sergak0/collector
Топ-2 решение всероссийского чепмионата от ЦП, трек "Collector"
ololo123321/yandex-recsys