MotJuMi's Stars
recommenders-team/recommenders
Best Practices on Recommendation Systems
mlrepa/mlpanel-examples
coleifer/simpledb
miniature redis-like server implemented in Python
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
koukyo1994/tabular-data-analysis-pipeline
Repository for tabular data analysis pipeline.
karan/Projects
:page_with_curl: A list of practical projects that anyone can solve in any programming language.
sweetSTEAM/NewsSummarizer
yutkin/News-Aggregator
Classification and aggregation of russian news articles. University coursework.
cedricbonhomme/newspipe
A web news aggregator.
faif/python-patterns
A collection of design patterns/idioms in Python
Corwinpro/CSCentre_Python
CSCentre Python course notes https://compscicenter.ru/courses/python/2015-autumn/
msnews/msnews.github.io
castorini/honk
PyTorch implementations of neural network models for keyword spotting
google-coral/project-keyword-spotter
Audio Keyphrase Detector
crowdAI/skip-prediction-challenge-starter-kit
Movinder/movielens-imdb-exploration
Data exploration of MovieLens and IMDb datasets to create Movinder. Movie recommendation system for a group of people.
waveambi/Spotless_Recommender
robinhood/faust
Python Stream Processing
kaiwaehner/hivemq-mqtt-tensorflow-kafka-realtime-iot-machine-learning-training-inference
Real Time Big Data / IoT Machine Learning (Model Training and Inference) with HiveMQ (MQTT), TensorFlow IO and Apache Kafka - no additional data store like S3, HDFS or Spark required
daicoolb/RecommenderSystem-DataSet
This repository contains some datasets that I have collected in Recommender Systems.
artmoskvin/real-time-recommender
Real-time collaborative filtering recommender system
chenxi1103/Netflix-Movie-Recommendation-System
Developed a full-stack movie recommendation system with RESTful API to provide clients with 20 recommended movies. Determine the hit rate by collecting clients’ watching data to see if they watch the recommended movies afterwards. Continuous Integration for pipeline code. Automated daily model quality evaluation and system supervision with Jinkens. Designed and built the infrastructure that can incrementally deploy new versions of recommendation service triggered by canary release and A/B testing. Integrated with feedback loops mechanism to detect potential positive or negative feedback loops to further identify potential adversarial attacks. Implemented the monitoring and detection by applying lambda architecture to combine the stream and batch processing results to detect problematic behaviors. Comprehensive data quality control on raw data received from Kafka stream, especially focus on data schema issues, missing data, and duplicated data. Monitoring Dashboard UI with D3.js. Developed the whole web server by Flask. Containerized the whole service by Docker.
logpai/loghub
A large collection of system log datasets for AI-driven log analytics [ISSRE'23]
ashishpatel26/Real-time-ML-Project
A curated list of applied machine learning and data science notebooks and libraries across different industries.
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
ex4sperans/freesound-classification
Code for the 3rd place solution to Freesound Audio Tagging 2019 Challenge
ckaestne/seai
CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)
gazprom-neft/standards
Standards for ML models and dataset annotations
PavelOstyakov/camera_identification
IEEE's Signal Processing Society - Camera Model Identification
PavelOstyakov/pipeline