jonas-pettersson / fast-aiLinks
Practical Deep Learning for Coders (fast.ai courses)
☆35Updated 7 years ago
Alternatives and similar repositories for fast-ai
Users that are interested in fast-ai are comparing it to the libraries listed below
Sorting:
- PyTorch port of Rachel's and Jeremy's 1st part Machine Learning course☆57Updated 8 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆80Updated 8 years ago
- Tutorial teaching the basics of Keras and some deep learning concepts☆104Updated 9 years ago
- ☆145Updated 8 years ago
- Neural networks from scratch☆108Updated 5 years ago
- This is the code for "The Evolution of Gradient Descent" by Siraj Raval on Youtube☆62Updated 6 years ago
- Repository for practical assignments for UvA Deep Learning Course 2016☆51Updated 8 years ago
- My code for Telstra Network Disruptions Kaggle competition☆74Updated 9 years ago
- my solutions for oxford's "deep nlp 2017" practical assignments☆65Updated 8 years ago
- ☆63Updated 7 years ago
- Lecture notes on probabilistic graphical modeling, based on Stanford CS228 (work in progress!)☆30Updated 8 years ago
- ☆36Updated 8 years ago
- Experiments for Jeremy Howard's deep learning courses☆39Updated 8 years ago
- Some experiments into explaining complex black box ensemble predictions.☆74Updated 5 years ago
- A compiled list of kaggle competitions and their winning solutions for sequence problems.☆36Updated 9 years ago
- Deep learning workshop materials☆114Updated 8 years ago
- Reinforcement learning course at Data Science Retreat☆42Updated 6 years ago
- Collection of examples, links and slides for the tutorial "Building a Pong playing AI in just 1 hour(plus 4 days training...)" presented …☆27Updated 9 years ago
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 7 years ago
- ☆159Updated 7 years ago
- Material for the Montréal Deep Learning Summer School 2017☆77Updated 8 years ago
- An end-to-end walkthrough of the winning submission by grt123 for the Kaggle Data Science Bowl 2017☆69Updated 8 years ago
- ☆35Updated 6 years ago
- AI & Deep Learning Enthusiasts Meetup Project & Study Sessions☆90Updated 6 years ago
- The versatility of Python enlightened by Torch to seize Deep Learning☆129Updated 8 years ago
- A repo with tutorials for algorithms from scratch☆101Updated 7 years ago
- My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]☆70Updated 6 years ago
- This is the code for "Synthetic Gradients Explained" by Siraj Raval on Youtube☆61Updated 7 years ago
- ☆36Updated 9 years ago
- Keras implementation of Deep Learning papers☆95Updated 7 years ago