septumcapital Goto Github PK
Name: Septum Capital Founder
Type: User
Company: Septum Capital
Bio: Building world's first unique hedge fund
Location: Denver, CO
Blog: www.septumcapital.com
Name: Septum Capital Founder
Type: User
Company: Septum Capital
Bio: Building world's first unique hedge fund
Location: Denver, CO
Blog: www.septumcapital.com
Fast and flexible AutoML with learning guarantees.
Useful extra functionality for TensorFlow 2.0 maintained by SIG-addons
Mostly experiments based on "Advances in financial machine learning" book
Minimal examples of data structures and algorithms in Python
A repository with IPython notebooks of algorithms implemented in Python.
Algorithms for monitoring and explaining machine learning models
SageMaker Course Material
In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.
Anomaly detection related books, papers, videos, and toolboxes
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
Automated Machine Learning with scikit-learn
[UNMAINTAINED] Automated machine learning for analytics & production
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of gradient boosting research papers with implementations.
A collection of important graph embedding, classification and representation learning papers with implementations.
Cool links & research papers related to Machine Learning applied to source code (MLonCode)
A topic-centric list of HQ open datasets. PR ☛☛☛
A curated list of awesome Python frameworks, libraries, software and resources
Quant/Algorithm trading resources with an emphasis on Machine Learning
TensorFlow - A curated list of dedicated resources http://tensorflow.org
This curated list contains python packages for time series analysis
Python Backtesting library for trading strategies
How to do Bayesian statistical modelling using numpy and PyMC3
A Python implementation of global optimization with gaussian processes.
Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"
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.