prashant-lbsim Goto Github PK
Type: User
Type: User
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Code to demo how to build Animated Bar Charts in R
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
A curated list of awesome Deep Learning tutorials, projects and communities.
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Cheat Sheets
Codes written in the course of a data science workshop at KIT in cooperation with FZI
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
Streamlit-based Distribution Fitter Web Application
An open source python library for scalable Bayesian optimisation.
Code for the paper "Language Models are Unsupervised Multitask Learners"
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Method for Predicting failures in Equipment using Sensor data. Sensors mounted on devices like IoT devices, Automated manufacturing like Robot arms, Process monitoring and Control equipment etc., collect and transmit data on a continuous basis which is Time stamped.
Jeeves virtual assistant
Library to scrape and clean web pages to create massive datasets.
Lingvo
A book for the coursera statistical inference class
LSTMS for Predictive Maintenance
MachineLearningSamples-PredictiveMaitenance
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
My notes and superstitions about common machine learning algorithms
A 5-pages only Machine Learning cheatsheet focusing on the most popular algorithms under the hood
Latex code for making neural networks diagrams
time-series prediction for predictive maintenance
Leveraging Deep Learning Solutions for Predictive Maintenance of Batteries in Industrial Datasets
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.