md-aseem

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Flask-User-Authentication

User authentication is important for protecting sensitive information and resources from unauthorized access. In this tutorial, you will learn how to set up basic user authentication – that is password-based authentication – in your Flask application.

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PMC-LLaMA

The official codes for "PMC-LLaMA: Towards Building Open-source Language Models for Medicine"

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Nuclei-Image-Segmentation

Unlocking the Secrets of Cells: Developing an AI Model for Nuclei Detection in Biomedical Images using Deep Learning Techniques.

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simple.css

Simple.css is a CSS template that allows you to make a good looking website really quickly.

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al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

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PointTransformerV2

[NeurIPS'22] An official PyTorch implementation of PTv2.

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manifesto

The OpenTF Manifesto expresses concern over HashiCorp's switch of the Terraform license from open-source to the Business Source License (BSL) and calls for the tool's return to a truly open-source license.

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Machine-learning-fluid-flow-Hidden-fluid-mechanics

Learning velocity and pressure fields from flow visualizations and A Navier-Stokes Informed Deep Learning Framework for Assimilating Flow Visualization Data

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PointNetCFD

Point-cloud deep learning for prediction of fluid flow fields on irregular geometries (supervised learning)

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Deep-Flow-Prediction

A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning

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pinn_cavity

Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.

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AI4FluidSimulations

Train large-scale surrogate models for CO2 flow in porous media or for solving the 3D Navier Stokes Equation.

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Physics-Based-Deep-Learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

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pswpswpsw.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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LabelFree-DNN-Surrogate

Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning

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pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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SlicerTomoSAM

An extension of 3D Slicer using the Segment Anything Model (SAM) to aid the segmentation of 3D data from tomography or other imaging techniques.

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MedLSAM

MedLSAM: Localize and Segment Anything Model for 3D Medical Images

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papers-we-love

Papers from the computer science community to read and discuss.

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MedSAM

Segment Anything in Medical Images

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stocksight

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

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Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

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AIAlpha

Use unsupervised and supervised learning to predict stocks

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Webscraping

Beautiful Soup with Regx

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whisper

Robust Speech Recognition via Large-Scale Weak Supervision

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