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100 Days of ML Coding
These are the instructions for "100 Days of ML Code" By Siraj Raval on Youtube
all kinds of baseline models for long text classificaiton( text categorization)
Interpretability and explainability of data and machine learning models
Notebooks for the Altair tutorial
Code for "High-Precision Model-Agnostic Explanations" paper
Code repository for Artificial Intelligence with Python, published by Packt
:sunglasses: Curated list of awesome lists
A collection of important graph embedding, classification and representation learning papers with implementations.
A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.
This is the code for "Azure Machine Learning" By Siraj Raval on Youtube
Bayesian Optimization using xgboost and sklearn API
A Python implementation of global optimization with gaussian processes.
Automatic Beatles lyrics generation.
This is a comprehensive guide on how you can automate your feature engineering process.
Mapping a variable-length sentence to a fixed-length vector using BERT model
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
This is the code for "Bitcoin Trading Bot" By Siraj Raval on Youtube
Bayesian Optimization of Combinatorial Structures
This is the code for "How to Build a Retail Startup" by Siraj Raval on Youtube
Repository with code and slides for a tutorial on causal inference.
An R package for causal inference in time series
Tools for causal analysis
Uplift modeling and causal inference with machine learning algorithms
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
Chess reinforcement learning by AlphaGo Zero methods.
Predicting music streaming service user churn on local machine and AWS EMR using Apache Spark.
A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
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.