khuyentran1401 / analyze_github_feedLinks
Create a local dashboard to visualize and filter your GitHub feed
☆29Updated 3 years ago
Alternatives and similar repositories for analyze_github_feed
Users that are interested in analyze_github_feed are comparing it to the libraries listed below
Sorting:
- Streamlit component for TensorBoard, TensorFlow's visualization toolkit☆41Updated 3 years ago
- An MLOps Project for the ZenML Month of MLOps Competition☆20Updated 2 years ago
- Demo on how to use Prefect with Docker☆27Updated 2 years ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆65Updated 6 months ago
- ☆23Updated 2 years ago
- This is a demo of a dataframe with editable cells, powered by `streamlit-aggrid` from Pablo Fonseca. You can edit the cells by clicking o…☆44Updated 2 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆88Updated 2 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆89Updated 2 years ago
- An end-to-end project on customer segmentation☆21Updated 3 years ago
- A FastAPI CLI & Streamlit App wrapper for Excel files... create APIs from Excel data files within seconds☆71Updated last year
- This is code depository for my upcoming session. Will update details post the session☆40Updated 2 years ago
- Streamlit component for embedding code snippets such as GitHub gists, CodePen snippets, Gitlab snippets, etc.☆66Updated 4 years ago
- Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…☆121Updated last year
- In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits☆107Updated 3 years ago
- This repository holds files and scripts for incorporating simple CI/CD practices for model training in ML.☆21Updated 3 years ago
- Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib☆19Updated 3 years ago
- A basic streamlit application that uses Mito for data importing and cleaning.☆23Updated 2 years ago
- ☆18Updated 8 months ago
- An end-to-end project on customer segmentation☆83Updated 2 years ago
- Demo on how to use Prefect 2 in an ML project☆41Updated 2 years ago
- Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson☆20Updated last year
- Streamlit component for invoice document labeling☆61Updated 2 years ago
- NeatText a simple NLP package for cleaning textual data and text preprocessing☆72Updated last year
- Deploying a Machine Learning model streaming application with Apache Kafka☆10Updated 3 years ago
- Python and data science snippets on the command line☆21Updated 4 years ago
- ☆66Updated 3 months ago
- Examples of using Evidently to evaluate, test and monitor ML models.☆37Updated 2 weeks ago
- Demo for CI/CD in a machine learning project☆110Updated 2 years ago
- ☆33Updated 3 years ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆57Updated 2 years ago