Hafiz Latif's Projects
Keras implementation of Deeplab v3+ with pretrained weights
Keras implementations of Generative Adversarial Networks.
An implementation of Grad-CAM with keras
Keras implementation of MaskRCNN object detection.
Keras implementation of RetinaNet object detection.
Implementation of Squeeze and Excitation Networks in Keras
Keras Temporal Convolutional Network.
Neural network visualization toolkit for keras
The project covers various deep learning models to automate the segmentation of knee cartilages using the diffusion weighted MRI
Codes for paper: A novel method for automatic localization of joint area on knee plain radiographs by A. Tiulpin et. al.
ECCV 2018 - Where are the Blobs: Counting by Localization with Point Supervision
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline!
Code for the Lovász-Softmax loss (CVPR 2018)
Deep Learning toolkit for Computer Vision
Lung fields segmentation on tomography images using convolutional neural networks.
Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.
Learn how to responsibly deliver value with ML.
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Segmentation of knee menisci and articular cartilage from 3D DESS MRI sequences
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
Repository containing notebooks of my posts on Medium
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning :rocket:
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Repository for the code related to the NIH marmoset longitudinal segmentation project.
Code for the paper: Valvano G. et al. (2021), Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates