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Name: Raihan Ahmed
Type: User
Name: Raihan Ahmed
Type: User
DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras (Nominated for Best Paper Award (IEEE CBMS))
Summarize existing representative LLMs text datasets.
python 3 codes
this is the official link to request CTooth
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.
DeepFaceLab fork which provides IPython Notebook to use DFL with Google Colab
A Network Integration Approach for Drug-Target Interaction Prediction
https://miro.medium.com/max/1324/0*09AED_CjE-PUFxKC.png
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Next generation face swapper and enhancer
G-K BertDTA is a research tool facilitating drug-target interaction prediction. Leveraging multi-modal data integration and advanced machine learning techniques, it enables automated identification of potential drug-target interactions.
GraphDTA: Predicting drug-target binding affinity with graph neural networks
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Series of EfficientNets (B0 to B7)
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
Image Segmentation Techniques on the ISBI 2012 dataset: http://brainiac2.mit.edu/isbi_challenge/
Convert JSON annotations into YOLO format.
Keras Attention Layer (Luong and Bahdanau scores).
Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge
The official Meta Llama 3 GitHub site
OpenMMLab Detection Toolbox and Benchmark
A Python implementation of DTINet
Graph Convolutional Networks in PyTorch
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.