rafiqhasan / auto-tensorflow
Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.com/in/sam04/
☆181Updated 2 years ago
Alternatives and similar repositories for auto-tensorflow:
Users that are interested in auto-tensorflow are comparing it to the libraries listed below
- Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…☆121Updated 11 months ago
- 100 applications built with H2O Wave☆99Updated 2 years ago
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆44Updated 5 years ago
- Streamline scikit-learn model comparison.☆145Updated 2 years ago
- An end-to-end project on customer segmentation☆81Updated 2 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆159Updated last year
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆106Updated 2 years ago
- Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage deep learning and deep tr…☆50Updated last year
- A set of examples illustrating some possible use cases for NannyML☆20Updated last year
- MLOps hands-on notes, notebooks and scripts of months of learning☆23Updated 2 years ago
- An open-source AutoML Library based on PyTorch☆307Updated last week
- Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit☆127Updated 11 months ago
- ☆153Updated 4 years ago
- This repository contains code to learn AI and ML on Google Cloud Platform☆101Updated 4 years ago
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆207Updated 5 months ago
- MLOps maturity assessment☆61Updated last year
- A quick reference guide to the most commonly used patterns and functions in PySpark SQL☆54Updated 3 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆86Updated 2 years ago
- Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep le…☆133Updated 4 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆89Updated last year
- 100 exercises to learn Python Datatable☆268Updated 3 years ago
- Machine Learning begins with Human Learning☆108Updated 3 years ago
- ☆38Updated 2 years ago
- Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…☆535Updated 2 months ago
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…☆48Updated 3 years ago
- Machine Learning for Streaming Data with Python, published by Packt☆69Updated last year
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆182Updated 9 months ago
- Microservice creation and Machine Learning Model Deployment using FastAPI☆113Updated 2 years ago
- Kaggle Pipeline for tabular data competitions☆204Updated 9 months ago
- PyCaret demo presented on June 1, 2020☆13Updated 4 years ago