Different projects to discover Data Science
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Updated
Jun 12, 2024 - Jupyter Notebook
Different projects to discover Data Science
Code of Kaggle Projects
Pytorch-based RAND implementation
This project is a simple implementation of a neural network with a single layer of perceptrons. The neural network is trained to prediction type of product based on its width and height.
a proof of concept for what I call multi perceptron layer approach.
An MLP based next character prediction model trained on several famous corpora with varying embedding dimensions and model architecture size
A Multi Layer Perceptron created to calculate XOR (eXclusive OR) on 5 inputs
🩺🔬 MLP-based Breast Cancer Diagnosis: Predicts tumor malignancy from image features, aiding in early detection. 📊🤖
This repo is the Machine Learning practice on NHANES dataset of Heart Disease prediction. The ML algorithms like LR, DT, RF, SVM, KNN, NB, MLP, AdaBoost, XGBoost, CatBoost, LightGBM, ExtraTree, etc. The results are good. I also explore the class-balancing (SMOTE) because the original dataset contains only 5% of patient and 95% of healthy record.
A deep learning project which demonstrates the recogniton of gender by voice , through the help of deep learning models like cnn,mlp,alexnet,vgg16
A simple MLP using only numpy. The computational graph is not automatically tracked, but the network supports arbitrarily many batch axes.
[ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
Code for TKDE paper "A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation"
Its the practice repository covering all the concepts @campusx-official has covered in his playlist in much detailed way.
Web-app to reconstruct image, for more details check below Readme file.
🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥
This code shows how to test a trained MLP model which is an xml file. Training is done by opencv mlp module.
An MLP Neural Network created from Scratch.
"A neural network to rule them all, a neural network to find them, a neural network to bring them all and verify if is you !!" (Face recognition tool)
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