- š¬ Ask me about Machine Learning, Deep Learning , Data Analysis
- š« How to reach me [email protected]
- š± Iām currently learning everything š¤£
- šÆ Iām looking to collaborate with other content creators
shailavij Goto Github PK
Type: User
Type: User
Robust recipes to align language models with human and AI preferences
Find all major CSV Files for data processing
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
Atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series
Machine learning and process automation
š Awesome Data Catalogs and Observability Platforms.
The easiest way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Multi-model Inference Graph/Pipelines, LLM/RAG apps, and more!
architectures and pre-trained models for long document classification.
š A ranked gallery of awesome streamlit apps built by the community
data, notebooks, python files for blog posts on emilygraceripka.com
Data Driven Modelling of Composites
Execute tasks on a point in time with minimal grid carbon intensity
Carbon-Aware SDK
Automatically extract chemical information from scientific documents
Cloud Carbon Footprint is a tool to estimate energy use (kilowatt-hours) and carbon emissions (metric tons CO2e) from public cloud usage
COIN-OR Linear Programming Solver
This repository contains coding interviews that I have encountered in company interviews
Cognite examples and documentation for python.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Experimental LLM-first process-driven chatbots
Data Apps & Dashboards for Python. No JavaScript Required.
A manufacture dashboard demo app showing real-time process control.
Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To predict the date when equipment will completely fail (RUL), XGBoost is used and achieved RMSE error is 0.033964 days, which is highly accurate.
This repo is for LinkedIn Learning course: Data Pipeline Automation with GitHub Actions
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
š 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. ššš
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 ā¤ļø Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.