andrewm-bose Goto Github PK

100-ds-problems

100 Data Science Programming Problems

100-times-faster-nlp

🚀100 Times Faster Natural Language Processing in Python - iPython notebook

alwaysremember

Zipfian capstone project - Dan Morris

aws_transcribe_to_docx

Procude Word Document transcriptions using the automatic speech recognition from AWS Transcribe.

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bioblend

A Python library for interacting with CloudMan and Galaxy API

cheatsheets_demos

clmystery

A command-line murder mystery

covid-19-tweetids

The repository contains an ongoing collection of tweets IDs associated with the novel coronavirus COVID-19 (SARS-CoV-2), which commenced on January 28, 2020.

covid-age

Analysis code and data for COVID-19 age-specific clinical fraction

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

covid-tracking-data

customer-segmentation

Learn real-world techniques on customer segmentation and behavioral analytics, using a real dataset containing customer transactions from an online retailer.

data-science-bootcamp-assignments

deep-visualization-toolbox

DeepVis Toolbox

dtreeviz

A python library for decision tree visualization and model interpretation.

exploringdatawithpython

Methods of data exploration and visualization using Python.

featuretools

An open source python library for automated feature engineering

gans

Generative Adversarial Networks implemented in PyTorch and Tensorflow

gefilter-fish

Topic Modeling for Amazon Reviews

git-primer-checkpoint

gnes

GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.

heartcontrol

❤️ Continuous heart rate measurement during workouts with watchOS 3.

hg_transformers-1

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

how-to-deploy-a-tensorflow-model-in-production

This is the code for the "How to Deploy a Tensorflow Model in Production" by Siraj Raval on YouTube

how_to_deploy_a_keras_model_to_production

This is the code for the "How to Deploy a Keras Model to Production" by Siraj Raval on Youtube

labs

This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.

minimally-sufficient-pandas

There are always multiple ways to complete a task in Pandas. A minimal subset of the library is sufficient for almost everything.

miscellaneous

Scripts and code examples. Includes Spark notes, Jupyter notebook examples for Spark, Impala and Oracle.

ml_riskmanagement

Short Course - Applied Machine Learning for Risk Management