Pinned Loading

1. ML-concept-notes ML-concept-notes Public

   Notes on Deep Learning, Statistical Machine Learning and Data Science.

2. Transformer-based-GPT-model Transformer-based-GPT-model Public

   Mimic GPT-2 (124 million parameter) like transformer (decoder) model. Compare performance against OpenAI's model on prediction accuracy.

3. Validation-Scripts Validation-Scripts Public

   Validation scripts to ensure for consistency between L5 and L3 schemas.

   Python

4. Encoder-based-Sentiment-Analysis Encoder-based-Sentiment-Analysis Public

   Classify tweets as positive or negative using BERT-like (encoder) model.

   Jupyter Notebook

5. Bike-Classification-1RT700 Bike-Classification-1RT700 Public

   Plotting trends, correlations and outliers in the feature space. Classifying 'bike demand' based on weather patterns, using regression.

   Python

6. CNNs-Residual-Dropout-1RT720 CNNs-Residual-Dropout-1RT720 Public

   CNN implementation for digit classification. Variations include residual connections and dropout layers. Optimizers: Adam, RMSProp and SGD.

   Jupyter Notebook