Final master's degree project. Machine learning models and techniques
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Updated
Sep 30, 2017 - Jupyter Notebook
Final master's degree project. Machine learning models and techniques
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
Self-explanatory
A Machine Learning Model which predicts the population of cow's in India.
Connect four solver using neural networks and tensorflow
Projects Implemented in Tensor-flow | Regression | CNN | RNN | LSTM | GAN|
Pytorch | Tensorflow | Keras | Links
Use scikit learn, keras and tensor flow for some basic predictions
Bank note detection authentication
🏥 Health tracking app for daily activities
Building an auto-encoder with tensorflow and keras
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.
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…
Projeto open source para criação de uma ferramenta para automação de análise de ativos da bolsa de valores utilizando algorítmo de machine learning
DeepEfficiency - optimal efficiency inversion in higher dimensions at the LHC [arXiv:1809.06101]
keras implementation for Graph Neural Network model. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711022000486
Create Search Engine Bot on Telegram in Python
Health Care System with GUI Based on Deep Learning and Images Classification
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