ravikiranbadathala Goto Github PK
Name: Ravi Kiran Badathala
Type: User
Name: Ravi Kiran Badathala
Type: User
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
FDD for AHUs and supplemental program scripts
Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""
Capstone project for applied Data Science
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
A curated list of references for MLOps
Predictive Maintenance for Vehicle Fleets
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
Collection of ML algorithms for battery performance and safety data
Battery Monitor with charging/discharging history and time-to-end prediction
Control systems course in python
Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.
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
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.
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Deep Reinforcement Learning Course project
Predicting spectral emissivity of particles from a given material and geometry using decision trees and random forest.
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.
Methods with examples for Feature Selection during Pre-processing in Machine Learning.
Advances in Financial Machine Learning
LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.
Automatize local data analysis with team of tool-using GPT agents
Hands-On Machine Learning for Algorithmic Trading, published by Packt
A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.
hPINN: Physics-informed neural networks with hard constraints
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
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.