Stars
😎 Awesome lists about all kinds of interesting topics
📚 Freely available programming books
A complete computer science study plan to become a software engineer.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
💯 Curated coding interview preparation materials for busy software engineers
The Web framework for perfectionists with deadlines.
A list of awesome beginners-friendly projects.
Models and examples built with TensorFlow
A curated list of awesome Machine Learning frameworks, libraries and software.
Everything you need to know to get the job.
Scrapy, a fast high-level web crawling & scraping framework for Python.
⭐️ Companies that don't have a broken hiring process
A curated list of engineering blogs
PyTorch Tutorial for Deep Learning Researchers
Questions to ask the company during your interview
Latex code for making neural networks diagrams
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Best Practices on Recommendation Systems
📊 Path to a free self-taught education in Data Science!
📖 A curated list of resources dedicated to Natural Language Processing (NLP)
State-of-the-Art Text Embeddings
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"