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Starred repositories
๐ฆ๐ Build context-aware reasoning applications
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
12 Weeks, 24 Lessons, AI for All!
10 Weeks, 20 Lessons, Data Science for All!
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
This repository contains the source code for the paper First Order Motion Model for Image Animation
Free MLOps course from DataTalks.Club
Learn ML engineering for free in 4 months!
An open-source, low-code machine learning library in Python
Anthropic's educational courses
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive Aโฆ
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Code Repository for Machine Learning with PyTorch and Scikit-Learn
๐ฆ ๐๐ฒ๐ฎ๐ฟ๐ป about ๐๐๐ ๐, ๐๐๐ ๐ข๐ฝ๐, and ๐๐ฒ๐ฐ๐๐ผ๐ฟ ๐๐๐ for free by designing, training, and deploying a real-time financial advisor LLM system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + ๐ท๐ช๐ฅ๐ฆ๐ฐ & ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
All course materials for the Zero to Mastery Machine Learning and Data Science course.
Machine learning lessons and teaching projects designed for engineers
Machine Learning University: Accelerated Computer Vision Class
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
Azure OpenAI Samples is a collection of code samples illustrating how to use Azure Open AI in creating AI solution for various use cases across industries. This repository is mained by a community โฆ
Machine Learning Projects and Learning Content
Applied Machine Learning Explainability Techniques, published by Packt
Engineering MLOps, published by Packt
100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building
Introduction to performing Machine Learning on Snowflake