diktat / CPSC540machinelearning
Solutions to the assignments of the CPSC 540 Machine Learning course (2013) taught by Nando de Freitas
☆24Updated 10 years ago
Related projects: ⓘ
- Tutorial teaching the basics of Keras and some deep learning concepts☆104Updated 7 years ago
- my solutions for oxford's "deep nlp 2017" practical assignments☆65Updated 7 years ago
- Material for the Montréal Deep Learning Summer School 2017☆77Updated 7 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆79Updated 7 years ago
- TensorFlow Meetup Talks☆56Updated 6 years ago
- Code for O'Reilly's "A Short Course on TensorFlow"☆103Updated 7 years ago
- Repository for practical assignments for UvA Deep Learning Course 2016☆51Updated 6 years ago
- Lecture notes on probabilistic graphical modeling, based on Stanford CS228 (work in progress!)☆30Updated 7 years ago
- ☆30Updated 6 years ago
- Deep Learning Indaba 2017 Practical content☆7Updated 7 years ago
- ☆26Updated 6 years ago
- Materials for O'Reilly DL 4 NLP tutorial (NYC, June 2017)☆37Updated 7 years ago
- The versatility of Python enlightened by Torch to seize Deep Learning☆129Updated 6 years ago
- ☆94Updated 9 years ago
- ☆78Updated 7 years ago
- Torch notebooks and slides for the Bay Area Deep Learning Summer School☆97Updated 7 years ago
- Montréal Deep Learning Summer School 2016 material☆100Updated 8 years ago
- This is the code for "Synthetic Gradients Explained" by Siraj Raval on Youtube☆61Updated 6 years ago
- ☆79Updated 6 years ago
- ☆45Updated 8 years ago
- Winning solution scripts☆53Updated 7 years ago
- My second place solution to the Higgs Boson Machine Learning Challenge☆80Updated 9 years ago
- DS-GA-1011 Natural Language Processing with Representation Learning☆81Updated 6 years ago
- Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!☆34Updated 7 years ago
- Various ML/DL Resources organised at a single place.☆185Updated 3 years ago
- Slides and exercises for the Theano tutorial at the Deep Learning School in Stanford, September 24-25, 2016☆114Updated 7 years ago
- Some experiments into explaining complex black box ensemble predictions.☆73Updated 4 years ago
- Assignments for Geoffrey Hinton's Neural Net Course on Coursera, translated from (gross)Matlab into (beautiful)Python.☆42Updated 8 years ago
- ☆93Updated this week
- 📓 Notes from The Neural Perspective (discontinued) blog.☆84Updated 6 years ago