Train AI models efficiently on medical images using any framework

ncnn is a high-performance neural network inference framework optimized for the mobile platform

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Techniques for deep learning with satellite & aerial imagery

Visualizer for neural network, deep learning and machine learning models

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Open standard for machine learning interoperability

This repository is about a trained Machine Learning model which predicts Whether the Heart Disease is present or not by considering few factors. This ML model is slected by considering different accuracies of various trained ML models.

U-Net Implementation for Skin Cancer Detection

Repository showcasing ML Ops practices with kubeflow and mlflow

EBOP Model Automatic input Value Estimation Neural network

Modular Natural Language Processing workflows with Keras

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

Lendo Livro e Aplicando

Explode the world of nonverbal communication like never before with our body language detection solution. Utilizing advanced capabilities of MediaPipe and OpenCV, we provide real-time analysis and insights directly in our slides.

Plant Disease Detection using Deep Learning

If you can measure it, consider it predicted

Recognizing hardwritten digits -- In this project we will discover the MNIST handwritten digit recognition problem and we will develop a deep learning model in Python using the Keras library that will be capable of achieving excellent results.