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100-days-of-ml-code

100 Days of ML Coding

2019-in-demand-ds-tech-skills

Jupyter notebook for scraping and analysis of most in demand job technologies skills for data scientists.

ai-saas

airflow-tutorial

Apache Airflow tutorial

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

awesome-algorithmic-trading

A curated list of awesome algorithmic trading frameworks, libraries, software and resources

awesome-customer-analytics

A curated list of awesome customer analytics content

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-python-data-science-books

Probably the best curated list of data science books in Python

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-satellite-imagery-datasets

List of satellite imagery datasets with annotations for computer vision and deep learning

awesome_apis

:octocat: A collection of APIs

berkeleyx-cs100.1x-big-data-with-apache-spark

This repository contains code files specifically IPython notebooks for the assignments in the course "Introduction to Big Data with Apache Spark" by UC Berkeley and Databricks on edX

blueprints-text

Jupyter notebooks for our O'Reilly book "Blueprints for Text Analysis Using Python"

building-machine-learning-pipelines

Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson

business-machine-learning

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

caffe

Caffe: a fast open framework for deep learning.

chartify

Python library that makes it easy for data scientists to create charts.

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

coronavirus-data-video-demo

A demo to show how data can be used to generate videos using the Shotstack API

crayon

A language-agnostic interface to TensorBoard

cs231n.github.io

Public facing notes page

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data_science_delivered

Observations from Ian on successfully delivering data science products

data_scientist_nanodegree

datalab-samples

datasets

A collection of datasets ready to use with TensorFlow

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-learning