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advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going).

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

az300

Study Notes for the AZ-300 exam

azure-storage-python

Microsoft Azure Storage Library for Python

azurerm

Easy to use Python library for the Azure Resource Manager REST API

bitcoin-neo4j

This repository shows how to use Neo4j to visualize Bitcoin data.

coding-interview-university

A complete computer science study plan to become a software engineer.

cqf

The CQF program

dash-sample-apps

Open-source demos hosted on Dash Gallery

data-science-book

data-science-books

deck.gl

CARTO fork - WebGL2 powered geospatial visualization layers

deep_rl_trader

Trading Environment(OpenAI Gym) + DDQN (Keras-RL)

docs

TensorFlow documentation

easyquant

股票量化框架，支持行情获取以及交易

enron

googleearthplot

Python library for plotting on google earth

gradslam

gradslam is an open source differentiable dense SLAM library for PyTorch

gym-anytrading

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

h3-py-notebooks

Jupyter notebooks for h3-py, a hierarchical hexagonal geospatial indexing system

hands-on-reinforcement-learning-with-python

Hands-On Reinforcement Learning with Python, published by Packt

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

imagehost

leaflet.heat

A tiny, simple and fast heatmap plugin for Leaflet.

libpostal

A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.

machine-learning-for-algorithmic-trading-second-edition_original

Machine Learning for Algorithmic Trading, Second Edition - published by Packt

machinelearningstocks

Using python and scikit-learn to make stock predictions

ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns

powerbi-javascript

JavaScript library for embedding Power BI into your apps. Check out the docs website and wiki for more information.