This repositry tries to include some very simple and basic state of the art Neural Networks implemented in Keras and Tensorflow.
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Updated
Nov 6, 2017 - Python
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
This repositry tries to include some very simple and basic state of the art Neural Networks implemented in Keras and Tensorflow.
DL course assignments
Deep Learning by Andrew Ng
Text Generation using LSTM Architecture
Machine Learning Algorithms, Natural Language Processing Models and best practices
To ensure social distancing protocol in public places and workplace, I've developed a social distancing detection tool that can monitor if people are keeping a safe distance from each other or not by analysing real time video streams from the camera.
Deep Learning Model that Colors Grayscale Images
This repository contains a comprehensive Python script for building and training an Artificial Neural Network (ANN) model to predict customer churn using customer data. The code includes extensive data preprocessing steps, such as scaling, one-hot encoding, and visualization, to ensure the model's accuracy and effectiveness.
Some image augmentation tools for yolov5 (and probably other models)
The detection of tumours in the breast depends on segmentation techniques. Segmentation plays a significant role in image analysis and includes detection, feature extraction, classification, and treatment. Segmentation helps physicians quantify the volume of tissue in the breast for treatment planning.
The Deep Learning and AI Specialization course offered by aiQuest Intelligence provides a comprehensive program designed to teach cutting-edge artificial intelligence, neural networks, and deep learning techniques. This course is aimed at equipping you with the skills needed to tackle real-world AI challenges.
This repository includes files of work for Suicidal Ideation detection based on social media dataset using semantic, contextual and graph neural network based hybrid approach
To predict bitcoin price with ARIMA, prophet rolling, LSTM, and Gradient Boost models
TensorFlow Implementation of "A Neural Algorithm of Artistic Style".
Machine_learning_Scripts will be a collection of all small time analytics that i do with datasets. The repo includes simple mathematical methods implementations or sklearn based one analysis.
Just to keep track of nice blog posts and new announcements related to machine learning, deep learning and artificial intelligence
Tools to convert Caffe models to neon's serialization format
Predict body weight using brain weight-Implementing deep learning
Udacity Self Driving Car Nanodegree - Behavioral Cloning
【内功修炼场】Standard、LeetCode、SwordOffer、Machine Learning