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☆42Updated 4 years ago
- Demo on how to use Prefect with Docker☆27Updated 3 years ago
- Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib☆19Updated 4 years ago
- An end-to-end project on customer segmentation☆22Updated 3 years ago
- This is code depository for my upcoming session. Will update details post the session☆40Updated 3 years ago
- Slides and notebook for the workshop on serving bert models in production☆25Updated 3 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 last year
- NeatText a simple NLP package for cleaning textual data and text preprocessing☆75Updated 2 years ago
- ☆23Updated 3 years ago
- A FastAPI CLI & Streamlit App wrapper for Excel files... create APIs from Excel data files within seconds☆72Updated 2 years ago
- Python and data science snippets on the command line☆22Updated 4 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆91Updated 3 years ago
- Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson☆20Updated 2 years ago
- This repository holds files and scripts for incorporating simple CI/CD practices for model training in ML.☆21Updated 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
- This repository contains instructions, template source code and examples on how to serve/deploy machine learning models using various fra…☆54Updated 2 years ago
- This project is focused on the Deployment phase of machine learning. The Docker and FastAPI are used to deploy a dockerized server of tra…☆26Updated 3 years ago
- How to build and deploy an anonymization API with FastAPI and SpaCy☆71Updated 4 years ago
- Machine Learning Model Serving Patterns and Best Practices☆36Updated last month
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆96Updated 3 years ago
- A basic streamlit application that uses Mito for data importing and cleaning.☆23Updated 2 years ago
- Template for data pipelines, ML workflows, API dev and monitoring☆44Updated 2 years ago
- ☆65Updated 9 months ago
- In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits☆107Updated 4 years ago
- Awesome Orchest projects, both official and submitted by the community.☆26Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated last year
- 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
- ☆33Updated 4 years ago
- Adding timestamps to NumFOCUS and PyData YouTube videos!☆106Updated 3 years ago
- Deploying a Machine Learning model streaming application with Apache Kafka☆11Updated 3 years ago