Robot | Path | Permission |
GoogleBot | / | ✔ |
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Title | Edward – |
Description | Edward Getting Started Tutorials API Community Contributing Github A library for probabilistic modeling, inference, and criticism. Edward is a Python libr |
Keywords | N/A |
WebSite | edwardlib.org |
Host IP | 192.30.252.154 |
Location | United States |
Site | Rank |
US$6,041,666
Last updated: 2023-05-02 02:57:04
edwardlib.org has Semrush global rank of 1,751,885. edwardlib.org has an estimated worth of US$ 6,041,666, based on its estimated Ads revenue. edwardlib.org receives approximately 697,116 unique visitors each day. Its web server is located in United States, with IP address 192.30.252.154. According to SiteAdvisor, edwardlib.org is safe to visit. |
Purchase/Sale Value | US$6,041,666 |
Daily Ads Revenue | US$5,577 |
Monthly Ads Revenue | US$167,308 |
Yearly Ads Revenue | US$2,007,692 |
Daily Unique Visitors | 46,475 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
edwardlib.org. | A | 1438 | IP: 192.30.252.154 |
edwardlib.org. | A | 1438 | IP: 192.30.252.153 |
edwardlib.org. | NS | 1800 | NS Record: ns3.digitalocean.com. |
edwardlib.org. | NS | 1800 | NS Record: ns2.digitalocean.com. |
edwardlib.org. | NS | 1800 | NS Record: ns1.digitalocean.com. |
Edward Getting Started Tutorials API Community Contributing Github A library for probabilistic modeling, inference, and criticism. Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields: Bayesian statistics and machine learning, deep learning, and probabilistic programming. It supports modeling with Directed graphical models Neural networks (via libraries such as tf.layers and Keras ) Implicit generative models Bayesian nonparametrics and probabilistic programs It supports inference with Variational inference Black box variational inference Stochastic variational inference Generative adversarial networks Maximum a posteriori estimation Monte Carlo Gibbs sampling Hamiltonian Monte Carlo Stochastic gradient Langevin dynamics Compositions |
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Domain Name: EDWARDLIB.ORG Registry Domain ID: D189045683-LROR Registrar WHOIS Server: whois.namecheap.com Registrar URL: http://www.namecheap.com Updated Date: 2021-05-04T06:21:35Z Creation Date: 2016-06-03T22:43:12Z Registry Expiry Date: 2022-06-03T22:43:12Z Registrar: NameCheap, Inc. Registrar IANA ID: 1068 Registrar Abuse Contact Email: abuse@namecheap.com Registrar Abuse Contact Phone: +1.6613102107 Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited Registrant State/Province: NY Registrant Country: US Name Server: NS1.DIGITALOCEAN.COM Name Server: NS2.DIGITALOCEAN.COM Name Server: NS3.DIGITALOCEAN.COM DNSSEC: unsigned URL of the ICANN Whois Inaccuracy Complaint Form https://www.icann.org/wicf/) >>> Last update of WHOIS database: 2021-09-12T21:50:59Z <<< |