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21 Lessons, Get Started Building with Generative AI
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. ๐ณDocker-friendly.โกAlways in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs,โฆ
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 is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security,โฆ
A simple screen parsing tool towards pure vision based GUI agent
๐ค Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contโฆ
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's 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
FinGPT: Open-Source Financial Large Language Models! Revolutionize ๐ฅ We release the trained model on HuggingFace.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Examples and guides for using the Gemini API
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
FinRLยฎ: Financial Reinforcement Learning. ๐ฅ
ๅผบๅๅญฆไน ไธญๆๆ็จ๏ผ่่ไนฆ๐๏ผ๏ผๅจ็บฟ้ ่ฏปๅฐๅ๏ผhttps://datawhalechina.github.io/easy-rl/
Kubernetes community content
Learn ML engineering for free in 4 months! Register here ๐๐ผ
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.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery ๐งโ๐ฌ
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! ๐ That's not all! Wโฆ
ๆฌ้กน็ฎๆฏไธไธช้ขๅๅฐ็ฝๅผๅ่ ็ๅคงๆจกๅๅบ็จๅผๅๆ็จ๏ผๅจ็บฟ้ ่ฏปๅฐๅ๏ผhttps://datawhalechina.github.io/llm-universe/
QLoRA: Efficient Finetuning of Quantized LLMs
Playing Pokemon Red with Reinforcement Learning
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essenโฆ
Deploy serverless AI workflows at scale. Firebase for AI agents