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rubric-sampling-public

PyTorch implementation for "Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference" (https://arxiv.org/abs/1809.01357).

s-lstm-gan-mnist

This repository contains the source for the paper "S-LSTM-GAN: Shared recurrent neural networks with adversarial training"

scipy-2017-codegen-tutorial

SymPy code generation tutorial at SciPy 2017

scipy-2017-tutorial-pandas

SciPy 2017 Pandas Tutorial

self-driving-car-sim

A self-driving car simulator built with Unity

sequentialdata-gan

Tensorflow Implementation of GAN modeling for sequential data

short_ans_grading_application

sketches

My personal collection of sketches made with vsketch

sma_backtest

Simple Moving Average system backtest

smai-stock-prediction

Implemented a system that analyses previous stock data of various companies, processes Time-Series data and aims to forecast the trends of stock in near future. Prediction is done using Supervised Learning Methods.

snmpjs-f

SNMP toolkit for Node.js

solana-go

Go SDK library for the Solana Blockchain

solana-go-sdk

Solana Golang SDK

solana-program-library

A collection of Solana-maintained on-chain programs

solanalotto

solders

Python bindings for the Solana Rust SDK

solidly

solidly.exchange

sourcetrail

Sourcetrail - free and open-source interactive source explorer

speech-to-text-wavenet

Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow

squad2.0-baseline-test-with-bidaf-no-answer

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.

ta

Technical Analysis Library using Pandas and Numpy

ta-lib

Python wrapper for TA-Lib (http://ta-lib.org/).

ta.py

Financial Technical Analysis in Python

tag_filemanager

tcav

tensorflow-echostatenetwork

Echo state network implementation on tensorflow

tensorflow-examples

TensorFlow Tutorial and Examples for beginners

tensorflow-tutorial

Tensorflow tutorial from basic to hard