Introduction to Python and Neural Network with Keras and PyTorch for beginners

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Revive Model

Visualizer for neural network, deep learning and machine learning models

img classification model using (CNN)

Data Communication Networks - Network Traffic Anomaly Detection

Automated detection of COVID-19 in real time can greatly help clinicians to handle increasing number of cases for preliminary screening. Deep CNN models trained with sufficiently large datasets may become best candidates to meet the purpose.

Deep Learning Courses

scripts used for neural decoding of single and multi unit auditory cortex data

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Fast Carbon Monoxide Column (XCO) Estimation from Cross-track Infrared Sounder (CrIS) Observations Using Machine Learning

Data Science and Machine Learning projects

EVERYTHING YOU NEED FOR DATA SCIENCE.

Deep Learning Courses

Pytorch to Keras/Tensorflow conversion made intuitive

ncnn is a high-performance neural network inference framework optimized for the mobile platform

This app predicts the disease of the leaf image of the given plant using Deep Learning

EBOP Model Automatic input Value Estimation Neural network

Custom DenseNet for deepfake detection

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.