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 |