Detect file content types with deep learning
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Updated
Jul 15, 2024 - Python
Detect file content types with deep learning
This project aims to classify brain MRI images into four categories: Glioma, Meningioma, No tumor, and Pituitary tumor. It utilizes TensorFlow to build and train a convolutional neural network (CNN) for the task.
A lightweight header-only library for using Keras (TensorFlow) models in C++.
A calculator that uses handwritten Kannada digits and operators to calculate the result, using contour detection and CNN model predictions. Made using PyTorch, OpenCV, PIL and CustomTkinter.
Han-river sentiment analysis
DDIM implementation for superresolution
This machine learning model can detect sign language in real time. The model was trained using the Teachable Machine platform by Google.
Plant disease detection and Solution using Image Classification
Carry out Time series forecating on the number of International Airline Passengers in units of 1,000 for a given year and month by using various LSTM models.
end-to-end face regontion project based on tensorflow
A deeplearning based deepfake detection project for human face images and videos
QReLU and m-QReLU: Two novel quantum activation functions for Deep Learning in TensorFlow, Keras, and PyTorch
this project utilizes difference deep-learning algorithms to detect fraud operations on banking systems ( classification problem )
Identify and classify toxic online comments
Machine/Deep Learning Concepts in Time Series Context!
A calculator that uses handwritten digits and operators to calculate the result, using contour detection and CNN model prediction. Tensorflow (Keras) is used to create, train and load the neural network model used for predictions. CustomTKinter is used to provide the GUI. OpenCV and Pillow (PIL) are used for contour detection.
Stock Trend and Price Prediction using Deep Learning Model (Using a sequence Model "LSTM: Long Short Term Memory Network")
A Simple NSFW Classifier Based on Keras and Tensorflow
The combined method between applying the CNNs to GANs models is called Deep Convolutional Generative Adversarial Networks (DCGANs).
Mayabati is a personal AI chef designed for enhancing culinary experience. Crafted by Biswadeb Mukherjee, a leading developer of ParseSphere Innovations.
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