hurshd0 Goto Github PK

ab-demo

Simple front-end A/B experiment

advent-of-code

agile_data_code_2

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

amazon-sagemaker-workshop

Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more

austin-311-data-analysis

Exploratory Data Analysis (EDA) of Austin 311 calls from 2014 -July, 2019

aviano-db

Simple Car Rental System Database Design Project -- used to learn principles of database design or use it for front-end projects

awesome-ml-dl-project-ideas

Ideas of Data Science, ML, DL capstone projects to try out.

awesome_eda

Package that contains many helpful utility functions to speed up EDA <-> Modeling process.

aws-sagemaker-build

Creates a CloudFormation template that uses AWS StepFunctions to automate the building and training of Sagemaker custom models based on S3 and GitHub events

aws-serverless-workshops

Code and walkthrough labs to set up serverless applications for Wild Rydes workshops

blockchain

cdk-workshop-app

cheat_sheets

A collection of handy cheat sheets for programming, data science, version control, statistics, and probability.

clip

Contrastive Language-Image Pretraining

cloud-gpu-prep-tool

Automate's your setup AWS Cloud GPU Windows Server for gaming workstation with themes, widgets and NVIDIA drivers

clueless

An adaptation of the board game Clue

code_snippets

colab_notebook_to_pdf

Converts colab notebooks to pdfs 📙 👉 📄

coronavirus-mongodb

Import Coronavirus data into MongoDB database.

course-nlp

A Code-First Introduction to NLP course

course-v3

The 3rd edition of course.fast.ai

coursera-stanford-ml-course

:mortar_board: Collection of my lecture notes and assignments for the Coursera Machine Learning taught by Andrew Ng.

covid19-dash

Coronavirus COVID19 US Cases Dashboard

cs224n

Stanford CS224n: Natural Language Processing with Deep Learning, Winter 2019

data

Data and code behind the articles and graphics at FiveThirtyEight

data-science--cheat-sheet

Cheat Sheets

deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearning.ai-gans-specialization

Deeplearning.ai GANs specialization course notes