Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)
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Updated
Oct 17, 2023 - Python
Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)
Basic Gesture Recognition Using mmWave Sensor - TI AWR1642
2D Convolutional Recurrent Neural Networks implemented in PyTorch
This code uses the pyTorch Conv2D modules to make the PIV algorithms work faster on GPU
This PyTorch-based project implements a deep neural network for multi-class classification of fashion items. The dataset consists of images categorized into three classes: glasses vs. sunglasses, shoes, and trousers vs. jeans.
A FAST pure numpy based 1D, 2D, even n-dimensional convolution library.
Reinforcement Learning with Actor-Critic to play Breakout-v4 (Atari) from OpenAI Gym
Handwriting digit recognition using keras.Conv2D and MNIST database.
Image Classification with 2D Convolutions, Deeplearning
• Developed a Keras model for classification and a Flutter Mobile App for users to detect pox. • Submitted for International Journal Elsevier.
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