Zihadul Azam's repositories
market-1501-classification-reid
In this assignment, we explored the use of neural networks to solve two common computer vision tasks using the PyTorch framework. We had given a video-surveillance dataset containing images of multiple persons each of which was captured multiple times by different cameras along with a set of annotations that specify attributes of each person such as age, gender and clothing.
covid19-ultrasound-img-prediction
Classification of Covid-19 lung ultrasound data using ResNet-18, ResNet-50, EfficientNet-b0 and EfficientNet-b4
house-prices
House Prices prediction using advanced Regression Techniques of ML
lstm-text-generator
This example trains a multi-layer RNN-LSTM on a language modeling task. The training script uses the PTB dataset, provided. The trained model can then be used by the generate script to generate new text.
masters-thesis
Masters degree thesis
nlu-first-assignment
Natural Language Understanding first assignment.
nlu-text-generation
This example trains a multi-layer RNN-LSTM on a language modeling task. The model has been implemented using Tensoflow Keras python library. The training script uses the PTB dataset, provided.
vehicle-counting-py
The purpose of this project is counting vehicles using Image Video processing tools.
resnet-grad-cam
rad-Cam provides us with a way to look into what particular parts of the image influenced the whole model’s decision for a specifically assigned label. It is particularly useful in analyzing wrongly classified samples.
Umbraco-CMS
The simple, flexible and friendly ASP.NET CMS used by more than 400.000 websites
yolov7-integretion-in-csharp-form-app
This an experimental project. I want to train YOLOv7 model using py notebook, export the trained model in ONNX format and then integrate the model into a C# form application.