Tool wear prediction by residual CNN
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Updated
May 13, 2021 - HTML
Tool wear prediction by residual CNN
(SANKET) A Cross-platform App that translates Any Sign language gestures into text or voice in real-time, making communication more accessible and inclusive for specially-abled people.
🎙 Speech transcription and synthesis via Keras and Tensorflow.
Automated methods to detect and classify human diseases from medical images, using Deep Neural Networks
A collection of simple machine learning projects, that got me started in this wonderful domain!
Creating Predictions for Numerai with Keras and scikit-learn
I created a deep learning end to end flask web app to detect face mask in uploaded pics using my previous Face Mask Prediction model using MBILENET
This is a system that automatically grades essays built using Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) techniques with the help of many libraries and tools e.g. scikit-learn, Keras, Seaborn, Gensim, NLTK, Ploty, Numpy, Pandas.
This is my deep learning repository where I applied some deep learning state-of-the-art techniques and architecture to the dataset.
This repository contains all artificial intelligence course projects.
This repository contains starting files for the Behavioral Cloning Project. In this project, you will use what you've learned about deep neural networks and convolutional neural networks to clone driving behavior. You will train, validate and test a model using Keras. The model will output a steering angle to an autonomous vehicle. We have provi…
Udacity Self-driving car nano degree project 4
A repository of assignments performed during the Advanced Machine Learning course.
Text Analytics Lab - By Zyduss
Trains a fully convolutional deep neural network to identify and track a character target in a drone simulator via Python Keras
A cat vs dog image classifier built with keras and then exported to be used in the browser by tensorflow.js
A diabetes prediction webapp
Facial Key point detection using Deep learning - Worked on this project as a part of udacity nanodegree foundations capstone project
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