ml-engineering

There are 51 repositories under ml-engineering topic.

  • MLOps-churn-prediction

    MLOps project Training and Deployment of Churn prediction model

    Language:Jupyter Notebook
  • jax-cuda-eicl-exp-docker

    Docker for getting jax to work with cuda, for reproducing ml experiments like eicl. Sure, let's NOT make a compatibility matrix and let people fight for their lives on cuda

    Language:Shell
  • mlops-spacy-sentiment-analysis

    MLOps project Training and Deployment of Spacy model for Sentiment analysis

    Language:Python
  • DermaDetectAI

    DermaDetectAI is a Flask app for detecting skin diseases using deep learning. Developed by Ranit Manik and team, it includes models for identifying 5, 10, and 23 skin conditions, and supports NVIDIA GPU acceleration. The models are trained with PyTorch.

    Language:HTML
  • Recommendation-System-For-Books

    Recommendation System for Books using Collaborative Filterings: An ML Project to Recommend 'n' similar Books for a given book, as per the Collaborative users' ratings of the books. This Project also involves the deployment in a Flask Based web application.

    Language:Jupyter Notebook
  • Blogs

    This repository serves as a platform where I share articles and implementations related to various machine learning concepts and projects. Through this blog, I aim to document my learning journey and provide insights into the fascinating world of machine learning.

    Language:JavaScript
  • ML_Vehicle_Price_Prediction

    Utilizing machine learning techniques, this project predicts vehicle prices based on features like age, fuel type, and more. Models include Linear Regression, Lasso Regression, and Random Forest. Dataset sourced from Kaggle.

    Language:Jupyter Notebook
  • dltflow

    A library for authoring DLT pipelines via meta-programming patterns and deploying to Databricks workspaces.

    Language:Python
  • disaster-response

    ⛰️ machine learning pipeline for disaster alert

    Language:Python
  • jpeg-transcoding

    Исследование на тему "Транскодирование изображений JPEG с использованием предсказания коэффициентов ДКП на основе нейронной сети".

    Language:Jupyter Notebook
  • se_ml_applied_machine_learning

    Work-in-progress

    Language:Jupyter Notebook
  • UniTrends

    UniTrends: Using Telegram API, Kafka, and AWS tools to analyze VISA group chats, refining my YouTube content strategy and gained 10k subscribers through data-driven insights.

    Language:Jupyter Notebook
  • detect_synthetic_news

    Detecting News Generated by LLMs

    Language:Python
  • disaster_response_pipeline_project

    A project to build an ETL pipeline and ML application to help respond to disaster events faster

    Language:Python
  • Theme-Of-Videos

    This neural network can help determine the correspondence of the attached video topic to the video topics recommended by YouTube.

    Language:Python