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1. probability-of-default-predictor probability-of-default-predictor Public

   A machine learning project to predict the Probability of Default (PD) for firms applying for loans. Uses financial indicators like profit, cash flow, and working capital to assess risk, aiding bank…

   Python

2. nas-seg-net nas-seg-net Public

   Forked from IBM/analog-nas

   Analog AI Neural Architecture Search (analog-nas) is a modular and flexible framework to facilitate implementation of Analog-aware Neural Architecture Search.

   Jupyter Notebook

3. backprop-from-scratch-using-numpy backprop-from-scratch-using-numpy Public

   Implemented back-propagation from scratch in Python, focusing on basic operations (addition, multiplication, power, ReLU) and manual gradient computation for the MNIST dataset. This project, utiliz…

   Python

4. training-a-chatbot-using-weights-and-biases training-a-chatbot-using-weights-and-biases Public

   This GitHub project trains a chatbot using the Cornell Movie-Dialogs Corpus with PyTorch. It covers dataset pre-processing, implementing a seq2seq model with Luong attention, training with mini-bat…

   Jupyter Notebook

5. DL-Mini-Project DL-Mini-Project Public

   Tasked with coming up with a modified residual network (ResNet) architecture with the highest test accuracy on the CIFAR-10 image classification dataset, under the constraint that your model has no…

   Jupyter Notebook

6. Garbage-Classification-using-Tensorflow Garbage-Classification-using-Tensorflow Public

   A convolutional neural network to classify garbage/trash. Built for working with a smart bin, on an edge device like a raspberry pi or an android device. Also included are files to convert the mode…

   Python 2