DanilBaibak/ml-in-production
The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.
Machine learning engineer, open-source enthusiast. Always learning.
The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.
Automatized political analysis of text. The machine learning model is trained on data from the https://manifestoproject.wzb.eu/ and uses bag-of-words features to predict political tendencies.
Build a production ready Machine Learning service for real-time prediction using FastAPI
Upload big files in the chunks using Flask
🦜🔗 Docs for LangChain projects
Build resilient language agents as graphs.
A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.
Predict fluctuations in currency quote using Prophet
Building recommendation system based Bayesian Personalized Ranking using TensorFlow 2.1
A machine learning project to generate an actions list from a meeting audio recording using the OpenAI API.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
fast.ai early development experiments
This is the example of analysing corpus of texts using Word2Vec
A toolkit for developing and comparing reinforcement learning algorithms.
Developing and comparing reinforcement learning algorithms.
Tensorflow chatbot demo by @Sirajology on Youtube
JupyterLab with Python 3.6 for data scientists and researchers
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
scikit-learn: machine learning in Python
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Analyze data and build model for predict bike sharing information
Predict how many favorites will achieve an article, knowing it's title and publication time
The competition from Kaggel "Bag of Words Meets Bags of Popcorn"
How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube
This is the code for "How to Make a Prediction - Intro to Deep Learning #1' by Siraj Raval on YouTube
Single page application that implementing CRUD
Angular 1.x directive for rendering markdown with markdown-it.