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Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.
Repository for the CWL standards. Use https://cwl.discourse.group/ for support 😊
Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx
Computer Vision and Pattern Recognition, NUS CS4243, 2022
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
Data science interview questions and answers
Exercise solutions for Data Structures and Algorithms in Python(Michael T. Goodrich)
Lab assignments for Introduction to Data-Centric AI, MIT IAP 2023 👩🏽💻
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
starter from "How to Train a GAN?" at NIPS2016
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
Minimal Jupyter C kernel
Oxford Deep NLP 2017 course
Using the power of Python and Jupyter notebooks to automate analysis of scientific literature
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Machine Learning Interviews from FAAG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
📺 A place to discover the latest machine learning courses on YouTube.
Video lectures, slides and code for "The Mathematics and Statistics of Infectious Disease Outbreaks" course at Stockholm University
Repository with template
Get up and running with Llama 2 and other large language models locally
All Algorithms implemented in Python
Course on recommender systems conducted at the Faculty of Computer Science, National Research University - Higher School of Economics. Academic year 2022-2023.
Solving the Traveling Salesman Problem using Self-Organizing Maps
A comprehensive Spark guide collated from multiple sources that can be referred to learn more about Spark or as an interview refresher.
VIP cheatsheets for Stanford's CS 230 Deep Learning
Repozitar pre INFO a PKSS odbory
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.