Pinned Repositories
AssetsManagementSystem
A php based project for managing assets of the electric supply company
awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
deep-learning-with-keras-notebooks
Jupyter notebooks for using & learning Keras
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Object-detection-using-YOLOv4-with-custom-dataset
PConv2D_Keras
Keras implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions" [Liu et al. 2018]
pix2pix-tensorflow
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
Semantic-Segmentation-Suite
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
ubd-herbarium-repository
This repo consist of computer vision and machine learning research projects for UBD-herbarium including the dataset used.
yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
burhr2's Repositories
burhr2/ubd-herbarium-repository
This repo consist of computer vision and machine learning research projects for UBD-herbarium including the dataset used.
burhr2/yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
burhr2/Object-detection-using-YOLOv4-with-custom-dataset
burhr2/Semantic-Segmentation-Suite
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
burhr2/awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
burhr2/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
burhr2/Advanced_nnUNet
burhr2/artificio
Deep Learning Computer Vision Algorithms for Real-World Use
burhr2/awesome-deep-vision
A curated list of deep learning resources for computer vision
burhr2/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
burhr2/awesome-opencv
burhr2/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
burhr2/Awesome-U-Net
Official repo for Medical Image Segmentation Review: The success of U-Net
burhr2/cs-video-courses
List of Computer Science courses with video lectures.
burhr2/cs231n.github.io
Public facing notes page
burhr2/data_science_blogs
A repository to keep track of all the code that I end up writing for my blog posts.
burhr2/deep-image-prior
Image restoration with neural networks but without learning.
burhr2/DeepLearningImplementations
Implementation of recent Deep Learning papers
burhr2/gretel-blueprints
Public blueprints for data use cases
burhr2/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries.
burhr2/inpainting-gmcnn-keras
Keras implementation of "Image Inpainting via Generative Multi-column Convolutional Neural Networks" paper published at NIPS 2018
burhr2/KAIST_2019_Deep-Learning_HW3
A PyTorch Implementation of "Extracting and Composing Robust Features with Denoising Autoencoders"
burhr2/longitmssegm
Repository for MS lesion segmentation using deep learning
burhr2/Object-detection-with-deep-learning-and-sliding-window
Introduces an approach for object detection in an image with sliding window. The repository contains three files, make_data.py reads the image in gray scale and converts the image into a numpy array. The labels are also appended based on the file name. In this case, if the file name starts with "trn", then 1 is appended else 0. Finally, all the images and labels are saved into .npy file. The test-model-1.py file loads the images and converts the labels into two categories as we are doing binary classification of images. The model is built using keras with theano as backend. In this case, the best training accuracy was 80% since the data was just 500 images and the testing accuracy was 67%
burhr2/primu_nnUNet
Primus version of nnUNet
burhr2/smartwastegeneration
burhr2/smote_variants
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
burhr2/stylegan
StyleGAN - Official TensorFlow Implementation
burhr2/Time-Series-Analysis
code and data for the time series analysis vids on my YouTube channel
burhr2/unet-3D
Keras implementation of a 2D/3D U-Net with Additive Attention, Inception, and Recurrence functions provided