Official Function and Template Store for OpenFaaS

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

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

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

🏥 Health tracking app for daily activities

Create Search Engine Bot on Telegram in Python

Connect four solver using neural networks and tensorflow

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

Custom dataset object detection using TensorFlow Lite

Building an auto-encoder with tensorflow and keras

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

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

Pytorch | Tensorflow | Keras | Links

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

Podman AI Lab is an open-source extension for Podman Desktop that allows you to work with LLMs ( Large Language Models ) in a local environment. From getting started with AI and experimenting with models and prompts to model serving and playgrounds for common generative AI use cases, Podman AI Lab enables you integration AI into your application

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.

A simple image classification model using CNNs

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…