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100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
A curated list of data engineering tools for software developers
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
A curated list of references for MLOps
A curated list of awesome Python frameworks, libraries, software and resources
This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀
This repository contains System Design resources which are useful while preparing for interviews and learning Distributed Systems
Resources for working with time series and sequence data
A curated list of programmatic weak supervision papers and resources
Repositório contendo materiais de estudo sobre Predição Conforme.
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack
Efficient Deep Learning Systems course materials (HSE, YSDA)
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Solve puzzles. Learn CUDA.
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Examples and recipes for Llama 2 model
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
"Data Mining in Action Course", Moscow Institute of Physics and Technologies
WIP: Roadmap to becoming a machine learning engineer in 2020
Multi-armed bandits for dynamic movie recommendations
YSDA course in Natural Language Processing
Hands on Applications with GPT and other Large Language Models
Source Code for 'Practical Machine Learning with Rust' by Joydeep Bhattacharjee
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.