Ali Noshad (@alinowshad)
github

alinowshad

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  • Stars
    star
    13
  • Global Rank 830,877 (Top 29 %)
  • Followers 12
  • Following 9
  • Registered over 6 years ago
  • Most used languages
    Jupyter Notebook
         81.8 %
    Python
         18.2 %
  • Location 🇮🇹 Italy
  • Country Total Rank 7,320
  • Country Ranking
    Jupyter Notebook
         353
    Python
         3,414

Top repositories

1

DeepLeukemiaNet

An Efficient Approach for Segmentation and Classification of Acute Lymphoblastic Leukemia via Optimized Spike-based Network
Jupyter Notebook
2
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2

Deep-Residual-COVID-Net

This program is belong to A Novel Method for Detection of COVID-19 Cases Using Deep Residual Neural Network research article.
Jupyter Notebook
1
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3

scikit_learn_classifiers

accuracy of the scikit_learn classifiers
Python
1
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4

Neural-Networks

in this section we build a simple neural net using python
Jupyter Notebook
1
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5

Convolutional_Neural_Network

object detection using Convolutional Neural Network (using only numpy lib)
Jupyter Notebook
1
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6

Contrastive-Language-Image-Pretraining-Model-CLIP

Jupyter Notebook
1
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7

LogisticRegressionModel

creating a LogisticRegressionModel for classification of 32000 of employee data
Python
1
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8

Prediction-Of-Coronavirus-Confirmed-White-Linear-Regression

we use GRADIENT DESCENT to find the best fitting line
Jupyter Notebook
1
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9

Plant-Image-Classification

In this project we aimed to classify species of plants, which are divided into categories according to the species of the plant to which they belong. Being a classification problem, given an image, the goal is to predict the correct class label.
Jupyter Notebook
1
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10

Acute-Lymphoblastic-Leukemia-Detection-using-ResNet50

Development of Classification Model for Acute Lymphoblastic Leukemia Detection using ResNet50
Jupyter Notebook
1
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11

TimeSeriesClassification

In this project, we aimed to correctly classify samples in the multivariate time series format. In other words, since this is a classification problem, the objective is to correctly map the information contained in the features calculated over time to their labels.
Jupyter Notebook
1
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