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---
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license: mit
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---
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license: mit
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library_name: pytorch
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tags:
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- random-number-generator
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- wgan
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- math
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- onnx
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pipeline_tag: text-generation
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widget:
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- text: Generate 10
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- text: 9+10
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- text: '50'
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---
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<div align="center">
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# Number-E (GEN-E)
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### WORLD'S MOST FAST AND HIGH QUALITY AI RANDOM NUMBER GENERATOR (i think and hope)
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[](https://opensource.org/licenses/MIT)
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[](https://pytorch.org/)
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[]()
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</div>
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---
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## Introduction
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**Number-E** is a random number generator created in my spare time for fun with a collection of features normal random number
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generators dont have
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---
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## 🔑 Features
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| Feature | Description |
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| :--- | :--- |
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| **Understands Math** | If you we're to Input 1+1 it solves it (2) and outputs 2 numbers
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| **Super optimized** | On (T4, HD 8970) Two tested gpu's (HD 8970M) gets 2-3 seconds for 3 numbers (GPU from 2013) while T4 is a ungodly number
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| **Multi-Format** | Available in **PyTorch** (`.pth`), **ONNX** (`.onnx` for Web), and **TorchScript** (`.pt` for C++).
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---
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