General purpose machine learning crate
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Updated
May 30, 2024 - Rust
General purpose machine learning crate
Lightweight neural network library for running compiled models on embedded systems
Neural Network that is able to translate any sign language into text.
Hyperspectral Image Denoising using Attention and Adjacent Features Extraction Hybrid Dense Network
Unveiling the Layers: Building a Neural Network (MLP) from Scratch
Intro to tenserflow for deep learning Course with udacity
Deep learning examples with Python and Tensorflow & Keras.
Artificial neural networks coded in c++.
Detecting weather a given image of an X-ray scan of lungs has pneumonia or not using convolutional neural networks and deep learning.
This project is built to help read and interprete sign languages of India. We are using an LSTM model as base
From-scratch machine learning models with implementation tutorials.
Predicting turbine energy yield (TEY) using ambient variables as features.
Introduction to Deep Learning in Keras and Tensorflow, not very polite.
Parkinson Disease Prediction using SVM Model followed by Deployment of Model as an WebApp using Heroku
This repository contains the resources our team used through the course of the CLEF competition.
Este repositorio estará basado en la explicación paso a paso en el uso de TensorFlow, Google Colab, y Python en los entrenamientos de Machine Learning para luego usar a través de HTML y JSON los modelos aprendidos por una red neuronal.
It is a medical chatbot that will provide quick answers to FAQs by setting up rule-based keyword chatbots.
This project aims to classify handwritten Kannada digits using multiple layers of algorithms.
The quality of the images is estimated using FFT transformations. The ANN model was built with Keras and tested using C ++ / CUDA.
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