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

Official Function and Template Store for OpenFaaS

Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

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

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.

Custom dataset object detection using TensorFlow Lite

Health Care System with GUI Based on Deep Learning and Images Classification

Create Search Engine Bot on Telegram in Python

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

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

Projeto open source para criação de uma ferramenta para automação de análise de ativos da bolsa de valores utilizando algorítmo de machine learning

Neural networks

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…

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.

Building an auto-encoder with tensorflow and keras

🏥 Health tracking app for daily activities

Bank note detection authentication

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