RadeenXALNW
To develop a complete mind: Study the science of art; Study the art of science. Learn how to see. Realize that everything connects to everything else.
Shahjalal University of Science and Technology, SylhetChittagong, Bangladesh
Pinned Repositories
albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Applied-Deep-Learning
Applied Deep Learning Course
Attention-CycleGAN--Van-Gogh
What if Van Gogh were here today with us?
CLIP-Image-Similarity
CNN-from-Scratch-with-Pytorch
CrewAI_Fitness_Agent
In the era of generative AI, maximizing efficiency and benefits can be achieved through autonomous AI agents. Utilizing multiple agents, each with its own expertise and dedicated tools for various tasks, enables seamless integration into daily workflows.
openpilot-pipeline
Training pipeline for end-to-end self-driving with Comma AI's Openpilot. WIP
ROAD_R_NeurIPS_Challenge
ROAD-R challenge for NeurIPS2023
STL10-ResNET101
ViTResUNet-Based-Medical-Image-Segmentation
Hybrid CNN-Transformer ViTResUNet is the State of the Art architecture with the backbone of TransUNet. It was presented on the Jamal Nazrul Islam National Conference -2022
RadeenXALNW's Repositories
RadeenXALNW/ViTResUNet-Based-Medical-Image-Segmentation
Hybrid CNN-Transformer ViTResUNet is the State of the Art architecture with the backbone of TransUNet. It was presented on the Jamal Nazrul Islam National Conference -2022
RadeenXALNW/Attention-CycleGAN--Van-Gogh
What if Van Gogh were here today with us?
RadeenXALNW/Applied-Deep-Learning
Applied Deep Learning Course
RadeenXALNW/CLIP-Image-Similarity
RadeenXALNW/CNN-from-Scratch-with-Pytorch
RadeenXALNW/CrewAI_Fitness_Agent
In the era of generative AI, maximizing efficiency and benefits can be achieved through autonomous AI agents. Utilizing multiple agents, each with its own expertise and dedicated tools for various tasks, enables seamless integration into daily workflows.
RadeenXALNW/ROAD_R_NeurIPS_Challenge
ROAD-R challenge for NeurIPS2023
RadeenXALNW/STL10-ResNET101
RadeenXALNW/albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
RadeenXALNW/Basic-Generative-Adversarial-Network-Implementation-on-MNIST-
RadeenXALNW/cocosplit
Simple tool to split COCO annotations into train/test datasets.
RadeenXALNW/openpilot-pipeline
Training pipeline for end-to-end self-driving with Comma AI's Openpilot. WIP
RadeenXALNW/Vision-Transformer-ViT
RadeenXALNW/CNN-on-Amazon-Rainforest-Dataset
RadeenXALNW/code_snippets
RadeenXALNW/COMPOSIOTEST
RadeenXALNW/CRIS.pytorch
RadeenXALNW/CS-PhD-Application-fee-waivers
Collections of CS PhD Application Fee Waivers of schools in North America
RadeenXALNW/faster-translate
Fast Translation module with ctranlate2 banckend(T5, BART etc.)
RadeenXALNW/gittutorial
git tutorial
RadeenXALNW/img2table
img2table is a table identification and extraction Python Library for PDF and images, based on OpenCV image processing
RadeenXALNW/making_with_ml
RadeenXALNW/mildlyoverfitted
Paper implementations from scratch and machine learning tutorials
RadeenXALNW/ORBIT-Dataset
The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.
RadeenXALNW/PaddleOCR-BN
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
RadeenXALNW/RadeenXALNW
Config files for my GitHub profile.
RadeenXALNW/ROC
RadeenXALNW/SRGAN-PyTorch
A simple and complete implementation of super-resolution paper.
RadeenXALNW/testcomposio
RadeenXALNW/TransUNet