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Lists (23)
Big Data Toolbox
Open-source tools for processing large datasets10 repositories
Blueprints
Starter projects and resusable templates15 repositories
Careers in Tech
Resources for beginning or advancing your career in tech6 repositories
Child of GPT
1 repository
Cloud Engineering
Sample projects hosted in the cloud9 repositories
Cool world
Amazing projects that utilise tech to improve lives, productivity etc.67 repositories
Data Engineering Arsenal
State of the art tools for ingesting, transforming and querying analytical data33 repositories
Dotnet Hub
Tools for building beautiful applications for Windows and other platforms supported by Dotnet3 repositories
Easy Blueprints
Quick start projects to save time12 repositories
Flutter me
1 repository
Geospatial DS
4 repositories
Machine Learning Toolbox
Useful tools for AI students and researches43 repositories
MLOps mastery
9 repositories
NLP for All
NLP projects aimed at improving inclusiveness and accessibility in AI35 repositories
NLP Toolbox
Collection of NLP resources, projects and state-of-the-art tools48 repositories
No hacking
Oh My GPT
Keeping track of the latest AI tools96 repositories
Self-Hosted
List of self hosted projects for those with limited budget or trust issues9 repositories
Software Engineering Essentials
Essential tools and knowledge for software engineers18 repositories
Study guides
1 repository
Test Data
Awesome tools for generating fake data for testing11 repositories
The good hacker
WEB BY
50 repositories
Starred repositories
58
stars
written in Jupyter Notebook
Clear filter
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
10 Weeks, 20 Lessons, Data Science for All!
Free Data Engineering course!
StableLM: Stability AI Language Models
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
TensorFlow Tutorials with YouTube Videos
A collection of pre-trained, state-of-the-art models in the ONNX format
Sweep: open-source AI-powered Software Developer for small features and bug fixes.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Examples and guides for using the Gemini API.
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Collection of useful data science topics along with articles, videos, and code
Datasets, tools, and benchmarks for representation learning of code.
Exercise notebooks for Machine Learning modules on Microsoft Learn
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
Training LLMs with QLoRA + FSDP
An introduction to network analysis and applied graph theory using Python and NetworkX
The Hitchhiker's Guide to Data Science for Social Good
A collection of notebooks for Natural Language Processing from NLP Town
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
Amazon Textract Code Samples
My notes / works on deep learning from Coursera
