emilwallner / How-to-learn-Deep-Learning
A top-down, practical guide to learn AI, Deep learning and Machine Learning.
☆719Updated last year
Related projects ⓘ
Alternatives and complementary repositories for How-to-learn-Deep-Learning
- ☆341Updated 4 years ago
- My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.☆485Updated 4 years ago
- Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library☆595Updated 4 years ago
- The Hitchiker's Guide to PyTorch☆1,194Updated 3 years ago
- Machine Learning interview prep guide☆406Updated 4 years ago
- A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!☆522Updated 3 years ago
- AI residency programs information☆427Updated last year
- List of DL topics and resources essential for cracking interviews☆443Updated last year
- ML/DL papers which I found useful. Lots of them.☆90Updated 6 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆561Updated 4 years ago
- Learn to make machines learn so that you don't have to struggle to program them; The ultimate list☆1,097Updated 8 months ago
- A repo for data science related questions and answers☆2,414Updated 2 years ago
- Full Stack Deep Learning Online Course☆889Updated 3 years ago
- Preparing for machine learning interviews☆896Updated 2 years ago
- A guide to building awesome machine learning projects.☆247Updated 4 years ago
- 🔥 A collection of PyTorch notebooks for learning and practicing deep learning☆538Updated last year
- Notebooks for the "A walk with fastai2" Study Group and Lecture Series☆744Updated 2 years ago
- Lab materials for the Full Stack Deep Learning Course☆1,205Updated 2 years ago
- Machine Learning Conference & Summer School Notes. 🦄☆571Updated 3 years ago
- Complete path for a beginner to become a Machine Learning Scientist!☆329Updated 6 years ago
- Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository☆936Updated 2 months ago
- Research papers with annotations, illustrations and explanations☆829Updated 3 years ago
- A mindmap summarising Deep Learning concepts.☆1,657Updated 5 years ago
- A curated list of articles that cover the software engineering best practices for building machine learning applications.☆1,236Updated 7 months ago
- Deep learning simplified by transferring prior learning using the Python deep learning ecosystem☆829Updated 4 years ago
- 📘 Contains a series of hands-on notebooks for learning the fundamentals of NLP☆365Updated 4 years ago
- For someone who is new at Kaggle☆80Updated 3 years ago
- 🤖 A curated list of machine learning & artificial intelligence startups in Berlin (Germany)☆277Updated last year
- A browser extension that links video explanations to research papers on arxiv.org☆414Updated last year
- Learn about Machine Learning and Artificial Intelligence☆916Updated 2 years ago