examples
ststats
| examples | ststats | |
|---|---|---|
| 1 | 1 | |
| 66 | 0 | |
| - | - | |
| 9.1 | 0.0 | |
| 3 days ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
examples
ststats
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Interactive dashboard for specialty training competition ratios
This is how I processed the data. HEE uploads a bunch of PDFs which are not fun to parse in the first place, but to make things worse the tables are formatted inconsistently from year to year. I settled for a mix of copying/pasting and Python.
What are some alternatives?
kfserving - Standardized Serverless ML Inference Platform on Kubernetes [Moved to: https://github.com/kserve/kserve]
MLB-Pitch-Identification-with-ML - Identify the name of a pitch being thrown using a machine learning model.
Traffic-Lights-Classification-CNN - Coding and testing a convolutional neural network for classifying traffic lights, with Keras and Tensorflow, using LISA dataset.
SagemakerHuggingfaceDashboard - This is a solution that demonstrates how to train and deploy a pre-trained Huggingface model on AWS SageMaker and publish an AWS QuickSight Dashboard that visualizes the model performance over the validation dataset and Exploratory Data Analysis for the pre-processed training dataset.
ee_repository_stats - Scraping, parsing, and analyzing every public Earth Engine repository
mfp-wrapped - Data app to provide analytics for myfitnesspal users: a calorie counter and food journal
Ordinal_Classifier - Introduce order in your classification within 1 line
covid19za - Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa
multi-object-tracking-in-python - 📡 implementation of multi object tracking algorithms including PMBM (Poisson Multi Bernoulli Mixture filter) in Python 🐍
PythonDataScienceHandbook - Python Data Science Handbook: full text in Jupyter Notebooks
quick-deploy - Optimize, convert and deploy machine learning models as fast inference API using Triton and ORT. Currently support Hugging Face transformers, PyToch, Tensorflow, SKLearn and XGBoost models.
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)