yassouali / fast.ai_notesLinks
Notes for fast.ai courses: intro to ML, Practical DL and Cutting edge DL.
☆72Updated 6 years ago
Alternatives and similar repositories for fast.ai_notes
Users that are interested in fast.ai_notes are comparing it to the libraries listed below
Sorting:
- Notes for Andrew Ng's courses on deep learning☆78Updated 6 years ago
- Machine learning flashcards☆221Updated 4 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆575Updated 5 years ago
- ☆107Updated 7 years ago
- ☆346Updated 5 years ago
- My Attempt(s) In The World Of ML/DL....☆94Updated last year
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆544Updated 6 years ago
- List of DL topics and resources essential for cracking interviews☆455Updated 2 years ago
- A compiled list of kaggle competitions and their winning solutions for classification problems.☆272Updated 9 years ago
- fast.ai early development experiments☆644Updated 2 years ago
- Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library☆596Updated 6 years ago
- Curated lists of fastai resources: blog posts, twitter threads etc.☆146Updated 5 years ago
- Tutorial for International Summer School on Deep Learning, 2019☆317Updated 3 years ago
- Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.☆244Updated 6 years ago
- This course covers how you can use NLP to do stuff.☆267Updated 5 years ago
- Contains my explorations of TensorFlow 2.x☆381Updated 3 years ago
- Please use fastbook's /clean folder instead of this☆446Updated 5 years ago
- 🔥 A collection of PyTorch notebooks for learning and practicing deep learning☆589Updated 2 years ago
- Starter app for fastai v3 model deployment on Render☆218Updated 2 years ago
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆498Updated 7 years ago
- Compendium of tips to help you apply to machine learning and data science jobs.☆52Updated 6 years ago
- 🧠 Material for the Deep Learning Study Group☆394Updated 3 years ago
- Contents covered in sessions of AI Saturdays (cycle 2) as well as relevant material for further study.☆29Updated 6 years ago
- ☆95Updated 6 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆279Updated 7 years ago
- PyTorch Tutorial (1.7)☆457Updated 5 years ago
- Notes taken from Google Machine Learning Course provided to public for practice & correction.☆204Updated 2 years ago
- A compiled list of kaggle competitions and their winning solutions for regression problems.☆149Updated 9 years ago
- My 100 Days of ML Code Challenge Repository. Note: I stopped updating in the blogger site. The days after 100 days are documented in anot…☆110Updated 3 years ago
- Deep Learning Study Group☆330Updated 4 years ago