This GitHub repo consists of Code and Some results of project- Diabetes Treatment using Gold nanoparticles. These Consist of ML Models used for prediction Diabetes and further the basic theory and working of Gold nanoparticles.

Last update: Jan 30, 2022

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GoldNanoparticles

This GitHub repo consists of Code and Some results of project- Diabetes Treatment using Gold nanoparticles. These Consist of ML Models used for prediction Diabetes and further the basic theory and working of Gold nanoparticles.

Hi There we are group of Students from IIT Ropar 👋

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🤵‍♂️ Harshvardhan Shewakramani
👨‍💻 Satya Prakash Mishra
🧛‍♂️ Gokul Nandan T M
👨‍ Ankit Kumar Meena

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This GitHub repo consists of Code and Some results of project- Diabetes Treatment using Gold nanoparticles. These Consist of ML Models used for prediction Diabetes and further the basic theory and working of Gold nanoparticles.

Related tags

Overview

GoldNanoparticles

Hi There we are group of Students from IIT Ropar 👋

Connect with us:

Languages and Tools used:

Owner

RCT-ART is an NLP pipeline built with spaCy for converting clinical trial result sentences into tables through jointly extracting intervention, outcome and outcome measure entities and their relations.

Riemann Noise Injection With PyTorch

Open source code for the paper of Neural Sparse Voxel Fields.

Multi-scale discriminator feature-wise loss function

Deeplearning project at The Technological University of Denmark (DTU) about Neural ODEs for finding dynamics in ordinary differential equations and real world time series data

Unifying Global-Local Representations in Salient Object Detection with Transformer

Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning

Use your Philips Hue lights as Racing Flags. Works with Assetto Corsa, Assetto Corsa Competizione and iRacing.

Code for "PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds", CVPR 2021

PyTorch implementation of the end-to-end coreference resolution model with different higher-order inference methods.

Pip-package for trajectory benchmarking from "Be your own Benchmark: No-Reference Trajectory Metric on Registered Point Clouds", ECMR'21

Code for "Learning Graph Cellular Automata"

The official implementation code of "PlantStereo: A Stereo Matching Benchmark for Plant Surface Dense Reconstruction."

Visualizer for neural network, deep learning, and machine learning models

Open AI's Python library

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Metric learning algorithms in Python