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A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Common financial technical indicators implemented in Pandas.
TensorFlow 2.0 Various notes and tutorials
An improved method for uploading pandas dataframes to SQL server
A Panel-based dashboard showing recent shootings in Philadelphia using Altair, Folium, and Holoviews
YoloV3 Implemented in Tensorflow 2.0
Implement your own deep learning models from scratch with Tensorflow 2.0
Mastering Python for Finance – Second Edition, published by Packt
Generic and easy-to-use serving service for machine learning models
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Code for my submission to Udacity's AI Programming Nanodegree
A prompt theming engine for Powershell
Deployment of TensorFlow models into production with TensorFlow Serving, Docker, Kubernetes and Microsoft Azure
Content for Udacity's Machine Learning curriculum
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Code for Tensorflow Machine Learning Cookbook
TensorFlow Tutorials with YouTube Videos
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way
Code snippets in Micropython for the Pycom Lopy board
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
The accompanying files for the book 'Dataviz with Python and JavaScript'
IPython Notebook Theme. Base16 default colors, VIM mode by default
An opinionated list of awesome Python frameworks, libraries, software and resources.