surya-datascientist Goto Github PK
Name: Surya
Type: User
Name: Surya
Type: User
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Materials for the AI for Good Workshop
Algorithmic Trading program, that uses Genetic Programming and Genetic Algorithms to predict stock prices.
Proof of concept Cointegration-Based spread trading strategy applied to the Foreign Exchange market
Deep Learning - Neural network (RNN, LSTM & GRU)
Python Implementations of popular Algorithmic Trading Strategies
A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
A curated list of awesome Deep Learning tutorials, projects and communities.
Long list of geospatial tools and resources
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
bandl is an open-source library, provides APIs for equity stocks, derivatives, and cryptocurrencies. APIs for NSE EQ/FNO data, Nasdaq, Samco, 5Paisa, AngelBroking, Binance, and Coinbase are available.
Materials from the Data Science with Spark and R
Create Blogs and Websites with R Markdown
Code and Data Files relevant to our Bootcamp Digit Recognition App Project.
A course that helps newbies master the core principles of one of the world's most popular programming languages, python.
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.
Instruction and material for DataFest Tbilisi 2018 Workshop.
Curated list of Python resources for data science.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
A curated list of practical financial machine learning (FinML) tools and applications in Python.
The next best thing after Bloomberg Terminal
Environment for reinforcement-learning algorithmic trading models
Hands-On Machine Learning for Algorithmic Trading, published by Packt
Hands-on Machine Learning with R: An applied book covering the fundamentals of machine learning with R.
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.
Happilyy_fit blog
A few samples from Henry Carsten's book '101 Trading Ideas'
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A brazen two-column theme for Jekyll.
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.