keivanipchihagh
Data Scientist | Software Engineer | Machine Learning Enthusiast | CE@AUT
@baleMessengerTehran, Iran
Pinned Repositories
Bag-of-Words-Meets-Bags-of-Popcorn
🍿 Using Google's Word2Vec on IMDB movie reviews for Sentiment Analysis - Kaggle competition
easy-peasy-deployment
Painless deployment of your favorite MLOps technologies with Docker - Grafana, Prometheus, Airflow, Spark, Postgres, Redis, NPM, Traefik and ...
Fun-Text-Mining-with-Simpsons
Exploratory data analysis for approximately 600 Simpsons episodes and scripts, topic modeling and text generation.
Intro-to-ML-and-Data-Science
My journey to learn fast-paced Machine Learning, Deep Learning & Data Science courses and references. :octocat:
keivanipchihagh
machinelearning-roadmap
A hands-on and industry-oriented roadmap to learn to become a Full-Stack Machine Learning Engineer
makemore
An autoregressive character-level language model for making more things
multi-stage-two-tower-recommender
A Movie Recommender System using YouTube's Two-Tower Architecture built with TFRS+TFR and served with FastAPI
Titanic-Machine-Learning-from-disaster
Predict who is likely to have survived in the titanic crash given his/her information
x-ui
Want to bypass Iran's GFW censorship? You are in the right place! 👻 V2ray VPN with X-UI dashboard, and Cloudflare's CDN, CFW and Self-Signed SSL
keivanipchihagh's Repositories
keivanipchihagh/x-ui
Want to bypass Iran's GFW censorship? You are in the right place! 👻 V2ray VPN with X-UI dashboard, and Cloudflare's CDN, CFW and Self-Signed SSL
keivanipchihagh/easy-peasy-deployment
Painless deployment of your favorite MLOps technologies with Docker - Grafana, Prometheus, Airflow, Spark, Postgres, Redis, NPM, Traefik and ...
keivanipchihagh/machinelearning-roadmap
A hands-on and industry-oriented roadmap to learn to become a Full-Stack Machine Learning Engineer
keivanipchihagh/keivanipchihagh
keivanipchihagh/docker-minecraft-server
🚀 Host a Minecraft server on your own server using Docker
keivanipchihagh/toolkit4life
A PyPI package to help speed-up development and make life easier.
keivanipchihagh/write-logs-like-pros
Still using Try-Catch the old way? Hard-Coding log files into your code? Meh, use Decorators instead!
keivanipchihagh/ML-Dev-Ease-Classification-vs.-Generation
An Exploratory (Data) Analysis on Development Ease in ML Applications - Text Classification vs. Generation
keivanipchihagh/doyouwannagooutwithme
👻 Do you wanna go out with me?
keivanipchihagh/github-snapshot
A simple client-side GitHub snapshot page
keivanipchihagh/jsproxy
Cloudflare worker as an unstoppable JavaScript proxy
keivanipchihagh/keivanipchihagh.github.io
keivan Ipchi Hagh's personal website
keivanipchihagh/kucoin-websocket
Multi-threaded KuCoin WebSocket with self-management mechanisms to ensure stable streaming at all times
keivanipchihagh/quera.ir-solutions
Solutions for quera.ir in GoLang
keivanipchihagh/server-loader
pre-configured stacks and scripts to deploy my favorite production-ready services in a nutshell 🐳
keivanipchihagh/dotfiles
🚀 A collection of my personal dotfiles.
keivanipchihagh/makemore
An autoregressive character-level language model for making more things
keivanipchihagh/multi-stage-two-tower-recommender
A Movie Recommender System using YouTube's Two-Tower Architecture built with TFRS+TFR and served with FastAPI
keivanipchihagh/cfw-proxies
Turn Cloudflare's workers into unstoppable proxies
keivanipchihagh/git-exercise
keivanipchihagh/hamsterkombat-miner
A simple clicker for Hamster Kombat 🪙
keivanipchihagh/hello-k8s
Hello-World, written in Python, served by Flask, integrated with GitHub Actions, Packaged by Helm, orchestrated by Kubernetes and Delivered with FluxCD
keivanipchihagh/http-monitor
Real-Time HTTP monitor service written in Python
keivanipchihagh/micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
keivanipchihagh/p2p-chat
Peer-to-Peer Chat in Python
keivanipchihagh/recommender-system-tutorial
A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.
keivanipchihagh/recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
keivanipchihagh/SSAD
Semantic Segmentation for Autonomous Driving | Thesis Project @ Amirkabir University of Technology
keivanipchihagh/url-shortener
easy-to-use URL shortener written in Go (Golang)
keivanipchihagh/vae-generative-voc
Pascal VOC dataset image generation using Variational Autoencoder (VAE)