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sparsecyclicrecovery

sparsereg

a collection of modern sparse (regularized) linear regression algorithms.

sparse_kernel_dmd

Learn sparse representations of the Koopman operator in POD basis in kernel feature space

spinningup

An educational resource to help anyone learn deep reinforcement learning.

stancon18

A primer on Hidden Markov Models using Stan. A Case Study submitted as a candidate for a contributed talk in StanCon 2018. Under review.

statswithjuliabook

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

tensorflow-course

Simple and ready-to-use tutorials for TensorFlow

tensorflow2.0tutorials

TensorFlow 2.0 Tutorials and Examples, CNN, RNN, GAN tutorials, etc. TF 2.0版入门实例代码，实战教程。

thesis

Differentiable Optimization-Based Modeling for Machine Learning

thunder-trader

A industrial high-performance High Frequency Trading System by C++11, support CTP, Femas and so on. 基于C++11开发的量化交易平台，可实现CTP、飞马等平台的高频交易策略。

total_least_squares_code

Experiment code for our NeurIPS 2019 paper "Total Least Squares Regression in Input Sparsity Time"

tqsdk-python

期货行情/历史数据/交易 开发包

trialr

Clinical Trial Designs in R & RStan

tspred

TSPred Package for R : Functions for Benchmarking Time Series Prediction

turingmodels.jl

Turing version of StatisticalRethinking models.

tutorial_agent_based_models

A Tutorial for Agent Based Models in Python

tvregdiff

Python version of Rick Chartrand's algorithm for numerical differentiation of noisy data

variational_koopman

Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" from IJCAI 2019.

vnpy

基于Python的开源量化交易平台开发框架

worldmodelsexperiments

World Models Experiments