A simple python program that can be used to implement user authentication tokens into your program...

Last update: Apr 18, 2022

Related tags

Deep Learning token-generator

Overview

token-generator

A simple python module that can be used by developers to implement user authentication tokens into your program...

code examples

creating a token

import tokengenerator as tg
print(tg.generate_token())

ODA4MDMzOTgzNjgyNjg3MDg0.1650034503.uIGFNimx6lPsD8eF7XZzsazEhqfQ9Q

extracting data from a token

import tokengenerator as tg

info = tg.get_token_info("ODA4MDMzOTgzNjgyNjg3MDg0.1650034503.uIGFNimx6lPsD8eF7XZzsazEhqfQ9Q")
print(f"""user ID: {info['id']}
created/last updated: {info['last_updated']}
last random key: {info['last_random_key']}""")

user ID: 808033983682687084
created/last updated: Friday, April 15, 2022 03:55:03
last random key: uIGFNimx6lPsD8eF7XZzsazEhqfQ9Q

Owner

octo

Full-stack web developer.

GitHub Repository

"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022

Graph Neural Controlled Differential Equations for Traffic Forecasting Setup Python environment for STG-NCDE Install python environment $ conda env cr

55 Dec 28, 2022

Repository for the paper "From global to local MDI variable importances for random forests and when they are Shapley values"

From global to local MDI variable importances for random forests and when they are Shapley values Antonio Sutera ( 3 Feb 23, 2022

"Learning and Analyzing Generation Order for Undirected Sequence Models" in Findings of EMNLP, 2021

undirected-generation-dev This repo contains the source code of the models described in the following paper "Learning and Analyzing Generation Order f

0 Mar 25, 2022

DC3: A Learning Method for Optimization with Hard Constraints

DC3: A learning method for optimization with hard constraints This repository is by Priya L. Donti, David Rolnick, and J. Zico Kolter and contains the

57 Dec 26, 2022

PyTorch Code of "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics"

Memory In Memory Networks It is based on the paper Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spati

12 May 30, 2022

Polynomial-time Meta-Interpretive Learning

Louise - polynomial-time Program Learning Getting help with Louise Louise's author can be reached by email at Stassa Patsantzis 64 Dec 26, 2022

Direct LiDAR Odometry: Fast Localization with Dense Point Clouds

Direct LiDAR Odometry: Fast Localization with Dense Point Clouds DLO is a lightweight and computationally-efficient frontend LiDAR odometry solution w

369 Dec 30, 2022

WarpRNNT loss ported in Numba CPU/CUDA for Pytorch

RNNT loss in Pytorch - Numba JIT compiled (warprnnt_numba) Warp RNN Transducer Loss for ASR in Pytorch, ported from HawkAaron/warp-transducer and a re

15 Oct 22, 2022

PSGAN running with ncnn⚡妆容迁移/仿妆⚡Imitation Makeup/Makeup Transfer⚡

144 Dec 26, 2022

A basic duplicate image detection service using perceptual image hash functions and nearest neighbor search, implemented using faiss, fastapi, and imagehash

Duplicate Image Detection Getting Started Install dependencies pip install -r requirements.txt Run service python main.py Testing Test with pytest How

21 Nov 11, 2022

Pytorch Implementation for Dilated Continuous Random Field

DilatedCRF Pytorch implementation for fully-learnable DilatedCRF. If you find my work helpful, please consider our paper: @article{Mo2022dilatedcrf,

3 Nov 13, 2022

Official implementation for paper Render In-between: Motion Guided Video Synthesis for Action Interpolation

Render In-between: Motion Guided Video Synthesis for Action Interpolation [Paper] [Supp] [arXiv] [4min Video] This is the official Pytorch implementat

8 Oct 27, 2022

Resources for the "Evaluating the Factual Consistency of Abstractive Text Summarization" paper

Evaluating the Factual Consistency of Abstractive Text Summarization Authors: Wojciech Kryściński, Bryan McCann, Caiming Xiong, and Richard Socher Int

165 Dec 21, 2022

CUDA Python Low-level Bindings

529 Jan 03, 2023

Oscar and VinVL

Oscar: Object-Semantics Aligned Pre-training for Vision-and-Language Tasks VinVL: Revisiting Visual Representations in Vision-Language Models Updates

938 Dec 26, 2022

Homepage of paper: Paint Transformer: Feed Forward Neural Painting with Stroke Prediction, ICCV 2021.

Paint Transformer: Feed Forward Neural Painting with Stroke Prediction [Paper] [Official Paddle Implementation] [Huggingface Gradio Demo] [Unofficial

442 Dec 16, 2022

Codes to pre-train T5 (Text-to-Text Transfer Transformer) models pre-trained on Japanese web texts

t5-japanese Codes to pre-train T5 (Text-to-Text Transfer Transformer) models pre-trained on Japanese web texts. The following is a list of models that

1 Dec 13, 2021

Pytorch implementation of the paper Time-series Generative Adversarial Networks

TimeGAN-pytorch Pytorch implementation of the paper Time-series Generative Adversarial Networks presented at NeurIPS'19. Jinsung Yoon, Daniel Jarrett

21 Nov 24, 2022

Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP

Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP Abstract: We introduce a method that allows to automatically se

134 Dec 19, 2022

python 93% acc. CNN Dogs Vs Cats ( Pytorch )

English | 简体中文（测试中...敬请期待） Cnn-Classification-Dog-Vs-Cat 猫狗辨别 (pytorch版本) CNN Resnet18 的猫狗分类器，基于ResNet及其变体网路系列，对于一般的图像识别任务表现优异，模型精准度高达93%（小型样本）。项目制作于

1 May 22, 2022