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Open-source demos hosted on Dash Gallery
Multi Page Dash App
General Assembly repo for Data Science 18
General Assembly's 2015 Data Science course in Washington, DC
Collection of useful data science topics along with articles, videos, and code
An experiment with the methodology using Python for analysis and d3js for visualization
These are the projects I've completed at General Assembly
case study datasets - Data Envelopment Analysis
Machine learning datasets used in tutorials on MachineLearningMastery.com
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Design of Experiment Generator. Read the docs at: https://doepy.readthedocs.io/en/latest/
A quick tutorial on how to use Jupyter Lab (the evolution of Jupyter Notebooks).
DUNS- Machine Learning Anti-Money Laundering Solution
Library of automation tools for EDA and modeling
Plotting the Efficient Frontier in Python. Inspired by Markowitz Modern Portfolio Theory.
Statistical and Algorithmic Investing Strategies for Everyone
Emergence of complex strategies through multiagent competition
Portfolio Management Framework for risk and performance analysis 投资组合管理
Projecting a society’s long-term electricity demand helps determine what capacity is needed for future energy generation. Accurate forecasts of electricity demand inform investment decisions about power generation and supporting network infrastructure. Of major interest to energy policymakers, power utilities, and private investors alike, forecasts
Visualizations and predictions on energy generation and consumption 💡⚡
This File provides a framework for valuation of equities. It includes financial statements, calculation of key ratios, WACC, Bond list, Competitive Summary, Forecasts, and Valuation. Forecast assumptions can be adjusted as needed.
World's best free and open source ERP.
A redistributable subset of the ETH Py150 corpus [https://www.sri.inf.ethz.ch/py150], introduced in the ICML 2020 paper 'Learning and Evaluating Contextual Embedding of Source Code' [https://proceedings.icml.cc/static/paper_files/icml/2020/5401-Paper.pdf].
Code and notebooks containing my experiments in data science, EDA, visualization, and machine learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.