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5 day Deep Learning School
Contains files for the deep learning in genomics primer.
A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
Source code for the blog post on the evolution of the asset allocation methods
Autoencoder framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)
Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020.
A list of papers and resources dedicated to deep reinforcement learning
Algorithmic trading with deep learning experiments
Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.
Implementation of a convolutional neural network model on real life data (self-taken images). Using transfer learning technique with a pre-trained model (VGG16) to classify images of clothing, built by Keras, Python.
Evaluation of Deep Learning Frameworks
A deep neural network package for R
MIT Deep Learning Book in PDF format
Replication codes for Deep Learning Credit Risk Modeling by Manzo, Qiao
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
For my Medium blog post
Kaggle's competition for using Google's word2vec package for sentiment analysis
Deep Learning Tutorial notes and code. See the wiki for more info.
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
The original code from the DeepMind article + my tweaks
Multiagent Cooperation and Competition with Deep Reinforcement Learning
This repository contains implementations and illustrative code to accompany DeepMind publications
Implementation of some deep learning algorithms.
deep learning toolkit in R
Evolving deep neural network agents using Genetic Algorithms
Deep Q Learning in Tensorflow for ATARI
An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.
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.