tdmcenergy's Stars
paritytrading/parity
spirosrap/AI-for-Trading
Artificial Intelligence for Trading Nanodegree
PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
myspaghetti/macos-virtualbox
Push-button installer of macOS Catalina, Mojave, and High Sierra guests in Virtualbox on x86 CPUs for Windows, Linux, and macOS
keras-rl/keras-rl
Deep Reinforcement Learning for Keras.
tensorflow/playground
Play with neural networks!
tensorforce/tensorforce
Tensorforce: a TensorFlow library for applied reinforcement learning
cuge1995/awesome-time-series
list of papers, code, and other resources
guillaume-chevalier/LSTM-Human-Activity-Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
dedstrom611/binary-rare-events-classifier
A basic binary classification class that uses sampling techniques in order to deal with rare events (e.g. 10% or less).
wilsonfreitas/awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
ML4ITS/tdt99-2020
Repository for the theory module TDT99
cerlymarco/MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
microsoft/StemGNN
Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
dokku/dokku
A docker-powered PaaS that helps you build and manage the lifecycle of applications
cryptpad/cryptpad
Collaborative office suite, end-to-end encrypted and open-source.
google-deepmind/dqn_zoo
DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.
ChristosChristofidis/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
gimpgael/ExtremeEventForecasting
(Python) Extreme events model inspired from Uber article
tymefighter/Forecast
danielgy/Paper-List-of-Time-Series-Forecasting-with-Deep-Learning
ydataai/ydata-synthetic
Synthetic data generators for tabular and time-series data
Azure/azure-sdk-for-python
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://learn.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
ADGEfficiency/rl-resources
A curated collection of reinforcement learning resources
UNSW-CEEM/energy-market-deep-learning
Experiments in using deep learning to model competition in liberalised electricity markets.
VinF/deer
DEEp Reinforcement learning framework
ujjwalkarn/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources