- Decision_tree_HW_implementation: Decision tree to if-else code and decision table. Then implement the decision table into FPGA ( alveo u280 data center accelerator card )
- Sklearn_Decision_Tree_Implemented_on_FPGA: Decision tree to if-else code and then implement that if-else code into FPGA ( alveo u280 data center accelerator card )
- CNN_float32_to_int8_conversion.ipynb: CNN model training and convert float32 model to int8 model
- CNN_for_Human_activity.ipynb: Implement non image data into CNN
- image_classification.ipynb: Train a CNN model and demonstrated the use of data pipelining and data augmentation. Dataset used for the model training
- large_tree_to_decision_table.ipynb: The tree trained in this notebook has 128189 nodes. Which is a very large decision tree. Here, I have demonstrated how any tree can be converted into a decision table and use that table to make predictions.
-text_classification_using_BERT_for_imbalance_data.ipynb: A example of text classification to detect spam.