qgt's repositories
aspire-mini
Mini Aspire API
c2py
Code translation from C to Python Programming Language
Color_picker_RESTful_API
A RESTful API for colorpicking in images
graph_display
Easy way to visualize graphs
hand_gesture_detection
This project is implemented by me for gaining practical experience and educating my self on the subtleties to multiclass classification using Pretrained networks and fine-tuning of such models. In this project, the base-model used was MobileNetV2 from Keras Library pre-trained on Imagenet Dataset. Finetuned it to get a training accuracy of 88% and test accuracy of 85% using only 800 images(200 of each category). The model used Global Average Pooling layer and Softmax Cost function. No dense layer was used. This model trained for 10 epochs with a learning rate equal to 0.0001 and batch size 64. Fine-tuning the results with greater precision and training the model with higher epochs could possibly improve the accuracy of the model. The project includes the all files , datasets, and pre-trained model weights. The model was trained on Google Colab and took 30mins to run 10 epochs.
html-course
Course on HTML and JS
LeetCode-Submission
Solutions for LeetCode problems
LeetCode_Algorithms
A collection of solutions for Medium/Hard LeetCode problems. Educational resource
Placement_Manager
App to optimize placement studies
t101
Test purposes