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Code and hyperparameters for the paper "Generative Adversarial Networks"
An awesome & curated list of best LLMOps tools for developers
Awesome-LLM: a curated list of Large Language Model
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
A curated and opinionated list of resources for startup founders and leaders of high-growth companies
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
✨✨Latest Advances on Multimodal Large Language Models
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
AI-Crash-Course, published by Packt
Neural Networks: Zero to Hero
IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
Learn by doing: DIY project groups at DataTalks.Club
Collection of useful data science topics along with articles, videos, and code
this repository accompanies the book "Grokking Deep Learning"
Jupyter Notebook & Data Associated with my Tutorial video on the Python NumPy Library
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Machine Learning Engineering Camp 2022
This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operations.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
📚 Freely available programming books
🎓 Path to a free self-taught education in Computer Science!
A complete computer science study plan to become a software engineer.