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:
- Demo on how to use Prefect with Docker☆27Updated 3 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 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 7 months ago
- ☆23Updated 2 years ago
- Python and data science snippets on the command line☆21Updated 4 years ago
- Slides and notebook for the workshop on serving bert models in production☆26Updated 2 years ago
- NeatText a simple NLP package for cleaning textual data and text preprocessing☆72Updated last year
- Learn how to create reliable ML systems by testing code, data and models.☆89Updated 3 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆91Updated 3 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
- A FastAPI CLI & Streamlit App wrapper for Excel files... create APIs from Excel data files within seconds☆72Updated last year
- Awesome Orchest projects, both official and submitted by the community.☆25Updated 2 years ago
- Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib☆19Updated 3 years ago
- Streamlit component for TensorBoard, TensorFlow's visualization toolkit☆41Updated 3 years ago
- Metadata store for Production ML☆88Updated 2 years ago
- In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits☆107Updated 3 years ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆57Updated 3 years ago
- Demo on how to use Prefect 2 in an ML project☆41Updated 2 years ago
- ☆66Updated 4 months ago
- Examples of using Evidently to evaluate, test and monitor ML models.☆39Updated last month
- This repository holds files and scripts for incorporating simple CI/CD practices for model training in ML.☆21Updated 3 years ago
- serving a torch model using Celery, Redis and RabbitMQ to serve users asynchronously☆22Updated last year
- MLflow is Open source platform for the machine learning lifecycle so here you can learn MLflow End to End Example with Prediction.☆13Updated 3 years ago
- This repository contains instructions, template source code and examples on how to serve/deploy machine learning models using various fra…☆52Updated 2 years ago
- A repository that showcases how you can use ZenML with Git☆69Updated last month
- Machine Learning Model Serving Patterns and Best Practices☆35Updated last week
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 8 months ago
- A tutorial that helps Big Data Engineers ramp up faster by getting familiar with PySpark dataframes and functions. It also covers topics …☆20Updated 3 years ago
- How to build and deploy an anonymization API with FastAPI and SpaCy☆71Updated 4 years ago