AiTechWorlds
Learn deep learning with the best GitHub repositories — practical courses, framework tutorials, and curated paper lists. Master neural networks with PyTorch and TensorFlow for free.
9 repositories
fastai
The fast.ai deep learning book
The notebooks for “Deep Learning for Coders with fastai & PyTorch”.
What you get
What you'll learn
Best for: Coders who want results-first deep learning.
terryum
The most cited deep learning papers
A curated list of the most influential and cited deep-learning papers.
What you get
What you'll learn
Best for: Learners ready to study the research.
pytorch
The leading deep-learning framework
PyTorch — the most popular framework for deep-learning research and production.
What you get
What you'll learn
Best for: Anyone serious about deep learning.
karpathy
Neural nets, from zero to hero
Andrej Karpathy’s course building neural networks from scratch, including GPT.
What you get
What you'll learn
Best for: Learners who want true understanding.
d2l-ai
Dive into Deep Learning (interactive book)
An interactive, free deep-learning book with code, math, and runnable notebooks.
What you get
What you'll learn
Best for: Learners who want depth plus code.
tensorflow
Google’s end-to-end ML platform
TensorFlow — a full ecosystem for building and deploying machine-learning models.
What you get
What you'll learn
Best for: Developers shipping ML to production.
kmario23
Top DL/ML/AI lecture series
A curated list of the best deep-learning, ML, and AI university lecture series.
What you get
What you'll learn
Best for: Learners who want university DL lectures.
keras-team
Deep learning for humans
Keras — a high-level, user-friendly deep-learning API now running on multiple backends.
What you get
What you'll learn
Best for: Beginners building neural networks.
labmlai
DL papers implemented and annotated
Annotated PyTorch implementations of many important deep-learning papers.
What you get
What you'll learn
Best for: Learners bridging papers and code.
fastai/fastbook (the fast.ai book and notebooks) teaches deep learning top-down with practical PyTorch code.
PyTorch is the most common for learning and research. The fast.ai course uses it and is beginner-friendly.
You can start on free cloud GPUs (Colab/Kaggle); local GPUs only matter for larger models.
Pair these with our learning roadmaps, free courses, and notes library.
