/Sample-Machine-Learning-Projects

Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.

Primary LanguageJupyter Notebook

This repository contains the projects that I've experimented-tried when I was new in Deep Learning.

Project # Network Type Project
1 LSTM + W2C (Keras) Sentiment Analysis
2 Generative Adversarial Network Generate Synthetic Images
3 LSTM Autoencoder Detect Anomalies in Time Series
4 Siamese Network MNIST Handwritten Digits
5 Autoencoders Reducing Dimensions In Data
6 Convolutional Neural Networks COVID-19 Detection Using X-Rays
7 SARIMAX + FB Prophet COVID-19 Time Series
8 Random Forest Classifier Imbalanced CC Fraud Detection
9 Ensemble ( VGG19 + Xception ) Malaria Dataset Classification
10 NLP TF Hub Models NLP Transfer Learning
11 Simple Probabilistic Model HAR Dataset Weights & Outputs Uncertainty
12 Plain FC NN From Scratch in TF 2.x
13 BERT (Pytorch) Sentiment Analysis Twitter SMILE dataset
14 Autoencoder Image Denoising
15 2D Convolutional NN Visualizing Filters of CNNs
16 ResNet152 Transfer Learning CIFAR10 Dataset & 96% Accuracy on Test Set