Stars
A colab gradio web UI for running Large Language Models
In this project, as a part of data engineering nanodegree (Udacity) I preformed data modeling with Postgres and built an ETL pipeline using Python. I defined fact and dimension tables for a star sc…
A collection of textual datasets in Hausa language and the corresponding translation in English language.
This is a Natural Language Processing applications WebApp useful for basic NLP task implemented using State of the Art API's on Streamlit Framework
Break neural networks in your browser 🦹♂️
ArcGIS API for JavaScript + Tensorflow.js Sample
Streamlit app to visualise the effect of Fourier Transform in Image Processing
Tools to Design or Visualize Architecture of Neural Network
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
Integrate image and tabular data for deep learning
HBAM: Hierarchical Bi-directional Word Attention Model
makama-md / Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Forked from ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-NetworkTools to Design or Visualize Architecture of Neural Network
Medical image registration related books, tutorials, papers, datasets, toolboxes and deep learning open source codes
Synthetic Image generation with Flip. Generate thousands of new 2D images from a small batch of objects and backgrounds.
A collection of computer vision pre-trained models.
An intuitive platform for deploying the latest discoveries in healthcare AI to everybody's phones. Powered by PyTorch!
NetFrame is a flexible and scalable deep-learning framework to build segmentation model on large scale pathological images.
Core components of PathologyGo, the AI assistance system designed for histopathological inference.
Automated Extraction and Classification of Pulmonary Lung Nodules from CT Scans
This is the preprocessing step of the LIDC-IDRI dataset
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network. By Guilherme Aresta, Colin Jacobs, Teresa Araújo, António Cunha, Isabel Ramos, Bram van Ginneken and Aurélio…
My implementation for the MRNet competition hosted by the Stanford ML group