Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
- gpt
- large-language-models
- llm
- python
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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Examples and guides for using the OpenAI API
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Course Files for Complete Python 3 Bootcamp Course on Udemy
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Learn OpenCV : C++ and Python Examples
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Examples and guides for using the Gemini API
TranslatedDeep Learning Tutorial, excellent articles
Sample code and notebooks for Generative AI on Google Cloud, with Gemini platform
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
A collection of various deep learning architectures, models, and tips
:satellite: Simple and ready-to-use tutorials for TensorFlow
llama3 implementation one matrix multiplication at a time
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
TranslatedOpen source Deep Learning book, based on TensorFlow 2.0 framework.
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! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
PRML algorithms implemented in Python
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
A Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more
Lab Materials for MIT 6.S191: Introduction to Deep Learning