gershonc

octopus-ml

A collection of handy ML and data visualization and validation tools. Go ahead and train, evaluate and validate your ML models and data with minimal effort.

mlflow_showcase

Showcase of MLflow capabilities

ml-explainability

Machine Learning Model Explainability

ml-serving-showcase

Implementation of an ML Model Serving with Flask, the model is LGBM trained on Kaggle titanic data.

papermill-showcase

Showcase of difference ways to automate, execute and monitor pipelines with papermill

Analytics_Vidhya

Codes related to activities on AV including articles, hackathons and discussions.

dask_showcase

Showcasing the latest DASK capabilities

eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pandas-cookbook

Recipes for using Python's pandas library

pandas-profiling

Create HTML profiling reports from pandas DataFrame objects

pandas-summary

An extension to pandas dataframes describe function.

tsfresh

Automatic extraction of relevant features from time series:

lstm_attention_tf

Add attention layer to LSTM/word2vec model for sentiment analysis using tensorflow

ALVRClient

A remote VR display client for ALVR server. refer: https://github.com/polygraphene/ALVR

debm

A Python package for Decision from Experience Behavior Modeling

deepreplay

Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!

ds_home_assignment

Exploratory-data-analysis-EDA

Exploratory data analysis (EDA) selected visualization and examples

FakeFact

DataHack fake fact detector

gershonc

Config files for my GitHub profile.

GFPGAN

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

github-slideshow

A robot powered training repository :robot:

jsd-mlflow-examples

This is a collection of MLflow examples that you can directly run with mlflow command

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

ml-workspace

🛠 All-in-one web-based IDE specialized for machine learning and data science.

mysite

time-series-classification-and-clustering

Time series classification and clustering code written in Python. Mostly based on the work of Dr. Eamonn Keogh at University of California Riverside

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

WEB_scraping_tutorial