Detect file content types with deep learning
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Updated
May 5, 2025 - Python
Detect file content types with deep learning
Collection of Keras models used for classification
Keras implementation of a ResNet-CAM model
Distributed Keras Engine, Make Keras faster with only one line of code.
K-CAI NEURAL API - Keras based neural network API that will allow you to create parameter-efficient, memory-efficient, flops-efficient multipath models with new layer types. There are plenty of examples and documentation.
Classify movie posters by genre
Implemented two papers for offline signature verification. Both use different deep learning techniques - Convolutional network and Siamese network.
Make a graph network of your followers. Based on username and gender
Classification of Time-series data with RNN
Multiple Handwritten Digit Recognition app Using Deep Learing - CNN from Canvas build on tkinter- GUI
QReLU and m-QReLU: Two novel quantum activation functions for Deep Learning in TensorFlow, Keras, and PyTorch
RNN classifier built with Keras to classify MNIST dataset
Dataset + convolutional neural network for recognizing Italian Sign Language (LIS) fingerspelling gestures
Identify and classify objects in real-time video streams using TensorFlow and OpenCV. This project is designed for applications like security systems, robotics, and interactive installations, combining the power of TensorFlow for deep learning with OpenCV's webcam interaction.
Android malware classification using both .java files and .so files
Detecting Brest Cancer from histology images using keras.
Implementing a keras model for diabetes recognition.
UCI Thyroid Classification - Python, Keras, scikit-learn, ANN
Enhancement and Segmentation GAN
Super-resolution using GANs. CNN, Image Classification and Image Upscaling.
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