This is Master's Project Git repository in Computer Vision and Machine Learning aims to share my research and development efforts in this exciting area of study.

Use scikit learn, keras and tensor flow for some basic predictions

DATA-X: m410 - TensorFlow - Shallow Neural Networks; An Introduction to TensorFlow V.2. Tensorflow (TF) is an open-source library used for dataflow, differentiable programming, symbolic math, and machine learning applications such as deep learning neural networks. TF's flexible architecture allows for easy deployment across varied processing pla…

Bank note detection authentication

Implementing Hand Written Digit Recognition using MNIST Datasets with the help of Tensor-Flow. It does the classification with 99% of accuracy without using the fixed number of epochs. It stops training when required level of accuracy is achieved.

Self-explanatory

Deep Learning using Theano, tensor flow, keras in Python. Self Learning with YouTube videos and text books.

Neural networks

Discovery of LLM and prediction models in Kotlin and using them to build a website

Projects Implemented in Tensor-flow | Regression | CNN | RNN | LSTM | GAN|

Contains work done mainly on Neural Networks and Machine Learning as a part of my interest for Data Science. The codes are in python and uses TensorFlow for Deep learning

keras implementation for Graph Neural Network model. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711022000486

A Machine Learning Model which predicts the population of cow's in India.

DeepEfficiency - optimal efficiency inversion in higher dimensions at the LHC [arXiv:1809.06101]

Pytorch | Tensorflow | Keras | Links

Building an auto-encoder with tensorflow and keras

Custom dataset object detection using TensorFlow Lite

Final master's degree project. Machine learning models and techniques