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state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

states-of-united-states-dashboard

States of United States Dashboard

statisticallearning

Course offered online through Stanford closely following the text "An Introduction to Statistical Learning, with Applications in R" (James, Witten, Hastie, Tibshirani - Springer 2013).

statistics-for-machine-learning

Code repository for Statistics for Machine Learning published by Packt

statquest

StatQuest with Josh Starmer

stdn

Code for our kdd 2018

stepwise

stereo-from-mono

[ECCV 2020] Learning stereo from single images using monocular depth estimation networks

stgan

STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing

stl-vqa

The good practice in the VQA system such as pos-tag attention, structed triplet learning and triplet attention is very general and can be inserted into almost any visual and language task

stn-ocr

Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition

stn3d

3D Spatial Transformer Network

stnbhwd

Modules for spatial transformer networks (BHWD layout)

stochastic-activation-pruning

stochastic_depth_keras

Keras implementation for "Deep Networks with Stochastic Depth" http://arxiv.org/abs/1603.09382

stochs

stochs: fast stochastic solvers for machine learning in C++ and Cython

stock-index-prediciton

stock-prediction

Stock price prediction with recurrent neural network. The data is from the Chinese stock.

stock-prediction-xgboost

Stock Prediction with XGBoost: A Technical Indicators' approach

stock-predictor-with-machine-learning-methods

stock predictor with random forest tree

stock-price-predict

Implementation of seq2seq with attention in keras

stock-price-prediction

Stock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data from Jan 2000 to Aug 2016

stock-rnn

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

stock_market_indicators

A small Python library with most common stock market indicators

stock_market_reinforcement_learning

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

stock_prediction_model_using_attention_multilayer_rnn_lstm

RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells

stocksharp

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, bitcoins and options).

stocktradingusingreinforcementlearning

#ML #ReinforcementLearning #PlayingAround

storm

Distributed and fault-tolerant realtime computation: stream processing, continuous computation, distributed RPC, and more

storn-keras

This is a STORN (Stochastical Recurrent Neural Network) implementation for keras!