Codes for realizing theories learned from Data Mining, Machine Learning, Deep Learning without using the present Python packages.

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Deep LearningCodes-for-Algorithms
Overview

Codes-for-Algorithms

  • Codes for realizing theories learned from Data Mining, Machine Learning, Deep Learning without using the present Python packages.
  • Upload on a random basis.
  1. Junior Data Processing
  • Calculate Distance N dimensional vector:
    • euclidean
    • manhattan
    • Minkowski
  • Calculate Similarity:
    • Jaccard
    • Simple Matching Coefficent(SMC)
  • Calculate relevance:
    • Covariance
    • Sample Standard Deviation (ssd)
    • Pearson Coeffiencent
  • Apriori
  • FPGrowth
Owner
Tracy (Shengmin) Tao
STEM girl in business world.
Tracy (Shengmin) Tao
GitHub Repository
Computer Vision application in the web

Computer Vision application in the web Preview Usage Clone this repo git clone https://github.com/amineHY/WebApp-Computer-Vision-streamlit.git cd Web

Amine Hadj-Youcef. PhD 35 Dec 06, 2022
Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation

tf-imle Tensorflow 2 and PyTorch implementation and Jupyter notebooks for Implicit Maximum Likelihood Estimation (I-MLE) proposed in the NeurIPS 2021

NEC Laboratories Europe 69 Dec 13, 2022
Recovering Brain Structure Network Using Functional Connectivity

Recovering-Brain-Structure-Network-Using-Functional-Connectivity Framework: Papers: This repository provides a PyTorch implementation of the models ad

5 Nov 30, 2022
deep_image_prior_extension

Code for "Is Deep Image Prior in Need of a Good Education?" Project page: https://jleuschn.github.io/docs.educated_deep_image_prior/. Supplementary Ma

riccardo barbano 7 Jan 09, 2022
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

CNTK Chat Windows build status Linux build status The Microsoft Cognitive Toolkit (https://cntk.ai) is a unified deep learning toolkit that describes

Microsoft 17.3k Dec 29, 2022
PyTorch Autoencoders - Implementing a Variational Autoencoder (VAE) Series in Pytorch.

PyTorch Autoencoders Implementing a Variational Autoencoder (VAE) Series in Pytorch. Inspired by this repository Model List check model paper conferen

Subin An 8 Nov 21, 2022
This is the official github repository of the Met dataset

The Met dataset This is the official github repository of the Met dataset. The official webpage of the dataset can be found here. What is it? This cod

Nikolaos-Antonios Ypsilantis 35 Dec 17, 2022
This repository provides data for the VAW dataset as described in the CVPR 2021 paper titled "Learning to Predict Visual Attributes in the Wild"

Visual Attributes in the Wild (VAW) This repository provides data for the VAW dataset as described in the CVPR 2021 Paper: Learning to Predict Visual

Adobe Research 36 Dec 30, 2022
Implementation of Deformable Attention in Pytorch from the paper "Vision Transformer with Deformable Attention"

Deformable Attention Implementation of Deformable Attention from this paper in Pytorch, which appears to be an improvement to what was proposed in DET

Phil Wang 128 Dec 24, 2022
U-Net Implementation: Convolutional Networks for Biomedical Image Segmentation" using the Carvana Image Masking Dataset in PyTorch

U-Net Implementation By Christopher Ley This is my interpretation and implementation of the famous paper "U-Net: Convolutional Networks for Biomedical

Christopher Ley 1 Jan 06, 2022
A hifiasm fork for metagenome assembly using Hifi reads.

hifiasm_meta - de novo metagenome assembler, based on hifiasm, a haplotype-resolved de novo assembler for PacBio Hifi reads.

44 Jul 10, 2022
Rayvens makes it possible for data scientists to access hundreds of data services within Ray with little effort.

Rayvens augments Ray with events. With Rayvens, Ray applications can subscribe to event streams, process and produce events. Rayvens leverages Apache

CodeFlare 32 Dec 25, 2022
The devkit of the nuPlan dataset.

The devkit of the nuPlan dataset.

Motional 264 Jan 03, 2023
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2020

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2020

Phillip Lippe 1.1k Jan 07, 2023
StyleGAN of All Trades: Image Manipulation withOnly Pretrained StyleGAN

StyleGAN of All Trades: Image Manipulation withOnly Pretrained StyleGAN This is the PyTorch implementation of StyleGAN of All Trades: Image Manipulati

360 Dec 28, 2022
Implementation of Nyström Self-attention, from the paper Nyströmformer

Nyström Attention Implementation of Nyström Self-attention, from the paper Nyströmformer. Yannic Kilcher video Install $ pip install nystrom-attention

Phil Wang 95 Jan 02, 2023
Simple sinc interpolation in PyTorch.

Kazane: simple sinc interpolation for 1D signal in PyTorch Kazane utilize FFT based convolution to provide fast sinc interpolation for 1D signal when

Chin-Yun Yu 10 May 03, 2022
This is a custom made virus code in python, using tkinter module.

skeleterrorBetaV0.1-Virus-code This is a custom made virus code in python, using tkinter module. This virus is not harmful to the computer, it only ma

AR 0 Nov 21, 2022
Direct Multi-view Multi-person 3D Human Pose Estimation

Implementation of NeurIPS-2021 paper: Direct Multi-view Multi-person 3D Human Pose Estimation [paper] [video-YouTube, video-Bilibili] [slides] This is

Sea AI Lab 251 Dec 30, 2022
Hitters Linear Regression - Hitters Linear Regression With Python

Hitters_Linear_Regression Kullanacağımız veri seti Carnegie Mellon Üniversitesi'

AyseBuyukcelik 2 Jan 26, 2022