ravikiranbadathala Goto Github PK

3pnn

Code and source data used in the article "3D printed biomimetic cochleae and machine learning co-modelling provides clinical informatics for cochlear implant patients" (Lei et al. Nature Communications, 2021). The code is used for modelling the relationship between electric field imaging (EFI) profiles and the electro-anatomical features of cochleae using a multilayer perceptron (MLP) artificial neural network (NN) model.

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

ahu-fault-detection-diagnostics

FDD for AHUs and supplemental program scripts

alphacodium

Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""

appliedcapstone-projectweek1

Capstone project for applied Data Science

awesome-mlops

A curated list of references for MLOps

aws-fleet-predictive-maintenance

Predictive Maintenance for Vehicle Fleets

aws_solutions_architect_python

Taking the AWS Solutions Architect certification path is a great way to test your knowledge and skills in cloud computing/cloud engineering. The one thing we don't see a lot of in the certification path is utilizing the API to automate your tasks. This project is to solve just that. As I go through the AWS Solutions Architect material, each of the

batteryanalytics

Collection of ML algorithms for battery performance and safety data

batterym

Battery Monitor with charging/discharging history and time-to-end prediction

batteryml

control_systems_course

Control systems course in python

data-science-and-machine-learning-from-scratch

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

data_driven_science_python_demos

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton

deep-learning-for-inverse-problems

This project hosts the code and datasets I used for Deep Learning course at Boston University. It aims to post-process the images the low quality images produced as a result of solving inverse problems in imaging (particularly Computed Tomography) and produce high-quality images.

deepnlp-models-pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

drl-project-citylearn2023

Deep Reinforcement Learning Course project

dt_inverse_design

Predicting spectral emissivity of particles from a given material and geometry using decision trees and random forest.

electric-vehicle-charging

Using electric vehicle charging data, I explore when drivers are likely to plug in their cars, and how much additional electricity demand that will create when the number of electric cars increases.

feature-selection-for-machine-learning

Methods with examples for Feature Selection during Pre-processing in Machine Learning.

finance_ml

Advances in Financial Machine Learning

generative-model-fdd

hands-on-machine-learning-for-algorithmic-trading

Hands-On Machine Learning for Algorithmic Trading, published by Packt

heating-rl-agent

A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.

hpinn

hPINN: Physics-informed neural networks with hard constraints

hyperparameter-optimization-of-machine-learning-algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

inverse_design

libattdeg

The dataset is generated by P2D model for Li-ion battery, the out put will be the degradation of battery during charging.

lightning-text-classification

Minimalist implementation of a BERT Sentence Classifier with PyTorch Lightning, Transformers and PyTorch-NLP.