areyesan's Projects
1D and 2D Segmentation Models with options such as Deep Supervision, Guided Attention, BiConvLSTM, Autoencoder, etc.
Research on adversarial attacks and defenses for deep neural network 3D point cloud classifiers like PointNet and PointNet++.
training a DL for 3D segmentation
Testing of 3D volumetric rendering with NeRF keras code
Solutions to the 'Applied Machine Learning In Python' Coursera course exercises
Data and code from Applied Predictive Modeling (2013)
Exercises From Book "Applied Predictive Modeling" by "Kuhn and Johnson (2013)"
Config files for my GitHub profile.
Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
Machine Learning University: Accelerated Computer Vision Class
Machine Learning University: Accelerated Tabular Data Class
Python module to read and write .binvox files.
In this research, we present C-PLES (Contextual Progressive Layer Expansion with Self-attention), a deep learning architecture for multi-class landslide segmentation in the Valles Marineris (VM) on Mars.
PyTorch implementation for Semantic Segmentation on Cityscapes dataset using R2UNET and its modified version.
Multiclass image segmentation in Keras
README and scripts for the Cityscapes Dataset
Class Activation Mapping
Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2022)
I created a Deep Learning Model which can do multiple task at a same time using tensorflow and keras.
[CVPR 2022] CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision
Deep Learning Specialization by Andrew Ng on Coursera.
A conceptual presention and a data generator making easier using tabular data with TensorFlow and Keras
A convolutional neural network for classifying binding pockets based on spatial and chemical information extracted from the pockets.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.