yepuv1 Goto Github PK

alkalineelectrolyzer

This is an implementation of Ulleberg's Electrolyzer model

ansible-rabbitmq-cluster

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

beam_tutorials

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

codesamples_ttapi_csharp

TT API Sample Applications in C#

coffeemug

cs230-proj

Deep learning for options pricing.

cs231n.github.io

Public facing notes page

curator.net

Mirror of Apache Curator

docker-python-db

A Python Docker Image with Oracle Instant Client and MSSQL Tools

edgar-10k-mda

Download and extract MDA section from edgar 10k forms

empath-client

analyze text with empath

incremental

A library for incremental computations

nandgate_nn

ner-tools

Tools for training Stanford NLP's NER models

nlp-projects

text preprocess, word2vec, sentence embedding in text similarity, text classification (includes sentiment analysis), Chinese word segmentation, Hidden Markov Model, CRFs, named entity recognition, knowledge graph, dialog system

numactl

NUMA support for Linux

primality

A Neural Network to test primality of a set of numbers

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pvlib-python

A set of documented functions for simulating the performance of photovoltaic energy systems.

pystock-crawler

Crawl and parse financial reports (XBRL) from SEC EDGAR, and daily stock prices from Yahoo Finance

python_example

Example pybind11 module built with a Python-based build system

refs_cpp

explore references in cpp

resources

PyMC3 educational resources

solar-forecasting

Software Record SWR-18-36 "A Physics-based Smart Persistent Model for Intra-hour Solar Forecasting"

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

stockperformanceclassification

Keras 1D CNN on Azure ML Workbench to classify 4 week stock performance based on text in public earnings statements

tensorflow-2-machine-learning-cookbook

TensorFlow 2 Machine Learning Cookbook, published by Packt

tensorflow-tutorials

Simple tutorials using Google's TensorFlow Framework