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spinningup-workshop

For educational materials related to the spinning up workshops.

sql-server-r-services-samples

Advanced analytics samples and templates using SQL Server R Services

squeezenet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

squeezenet-1

Tensorflow implementation of SqueezeNet.

ssd-tensorflow

Single Shot MultiBox Detector in TensorFlow

stable-baselines3

PyTorch version of Stable Baselines, improved implementations of reinforcement learning algorithms.

stacknet

StackNet is a computational, scalable and analytical Meta modelling framework

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

stanford-tensorflow-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

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 If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year).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.

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

stock-rnn

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

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.

stocks_rnn

Stock price prediction with LSTMs in TensorFlow

stocksharp

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

stylegan2

StyleGAN2 - Official TensorFlow Implementation

stylize-datasets

A script that applies the AdaIN style transfer method to arbitrary datasets

superviseddescent

C++11 implementation of the supervised descent optimisation method

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

tech-interview-handbook

💯 Algorithms study materials, behavioral content and tips for rocking your coding interview

tensor2robot

Distributed machine learning infrastructure for large-scale robotics research

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-1

图解tensorflow 源码

tensorflow-examples

TensorFlow Tutorial and Examples for beginners

tensorflow-for-stock-prediction

Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.

tensorflow-mnist-tutorial

Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.

tensorflow-rnn-shakespeare

Code from the "Tensorflow and deep learning - without a PhD, Part 2" session on Recurrent Neural Networks.

tensorflow-rnn-tutorial

tensorflow-safari-course

Exercises and solutions to accompany my Safari course introducing TensorFlow.