Text Generation LSTM Keras model trained with Cesar Vallejo poems

How to Spot a (Russian) Troll - Classifying Troll Tweets vs Authentic Tweets

Represent trained machine learning models as Pyomo optimization formulations

Developed an LSTM model to generate text, mimicking the style of Nietzsche's writings

UCL PHAS0056 (Machine Learning for Physicists) Final Project. Applying ML techniques to the binary classification and energy reconstruction of simulated neutrino events in LArTPCs

This API is designed to predict tomato diseases based on input images. The aim is to aid in the early detection of diseases in tomato plants to improve crop yield and reduce losses.

This project uses TensorFlow and Keras to develop a deep learning model for detecting glasses on human faces in images. It employs convolutional neural networks (CNNs) to classify images into "with glasses" and "without glasses" categories, offering a versatile tool for applications like facial recognition and virtual try-on experiences.

Stock predictions with LSTM

Design and Implement a Generative Adversarial Network (GAN) to generate new images

A new strategy to invest in Indian stock exchange

Empowering healthcare with AI, LeukoVision automates the detection of leukemia cells in blood smear images. Revolutionizing leukemia care with speed and accuracy.

Sound Classification Using CNN

🛡️ The IoT Network Malware Classifier 🚀 is an advanced solution tackling security concerns in IoT, employing deep learning for precise malware detection in network traffic.

Deep neural network to extract intelligent information from invoice documents.

"Stock Predictor" project basically aims to provide a visual representation and analysis of data related to time-series data which is constantly changing. This provides a dashboard to user displaying current trends and stocks data which uses ML like "LSTM" and "Random Forest" model.

Convolution Neural Network Digit Recognizer Implementation using MNIST dataset from keras.

hyper-sinh: An Accurate and Reliable Activation Function from Shallow to Deep Learning in TensorFlow, Keras, and PyTorch

QReLU and m-QReLU: Two novel quantum activation functions for Deep Learning in TensorFlow, Keras, and PyTorch

Retrieval based biomedical chatbot to answer questions related to diseases

Identify and classify toxic online comments