Pinned Repositories
course-v3
The 3rd edition of course.fast.ai
deep-image-prior
Image restoration with neural networks but without learning.
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
GameOfLife
mini-Project-Paint-java
ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
Network-algorithms-
the project is designed to work on Indisa train dataset, to purpose is to optimize the route connections using different Network algorithms such as Degree Connectivity Closeness Centrality Network Density Breadth-first search algorithm Depth-first search algorithm Bellman-Ford algorithm Djikstra’s algorithm.
quickai
QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
TransUNet
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
atifaA's Repositories
atifaA/quickai
QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
atifaA/course-v3
The 3rd edition of course.fast.ai
atifaA/deep-image-prior
Image restoration with neural networks but without learning.
atifaA/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
atifaA/GameOfLife
atifaA/mini-Project-Paint-java
atifaA/ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
atifaA/Network-algorithms-
the project is designed to work on Indisa train dataset, to purpose is to optimize the route connections using different Network algorithms such as Degree Connectivity Closeness Centrality Network Density Breadth-first search algorithm Depth-first search algorithm Bellman-Ford algorithm Djikstra’s algorithm.
atifaA/TransUNet
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.