yandexdataschool / MLatGradDays
Course of Machine Learning in Science and Industry at Heidelberg university
☆47Updated 7 years ago
Alternatives and similar repositories for MLatGradDays:
Users that are interested in MLatGradDays are comparing it to the libraries listed below
- Materials for the course of machine learning at Imperial College organized by Yandex SDA☆82Updated 7 years ago
- Kaggle competition results☆20Updated 6 years ago
- A research into the workflow for Kaggle competition (and data science in general) collaboratively☆47Updated 8 years ago
- Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge☆19Updated 7 years ago
- ☆26Updated 8 years ago
- Slides and materials for most of my talks by year☆91Updated last year
- Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016☆26Updated 8 years ago
- Lecture notes on probabilistic graphical modeling, based on Stanford CS228 (work in progress!)☆31Updated 7 years ago
- Materials for the course of machine learning at Imperial College organized by YSDA☆23Updated 8 years ago
- A helper library for data science pipeline☆36Updated 5 years ago
- Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit☆24Updated 10 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆79Updated 7 years ago
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 8 years ago
- Implementations of popular deep learning models in Theano+Lasagne☆24Updated 7 years ago
- Machine Learning in High Energy Physics 2016☆76Updated 5 years ago
- My second place solution to the Higgs Boson Machine Learning Challenge☆82Updated 10 years ago
- Winning solution for Analytics Vidhya Mini Hack☆21Updated 7 years ago
- Discovering deep embedding spaces for Psychiatric imaging☆16Updated 7 years ago
- Notes for Data Science 350 Class☆23Updated 7 years ago
- Tutorial on interpreting and understanding machine learning models☆68Updated 6 years ago
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 6 years ago
- My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]☆70Updated 5 years ago
- Amazon access control challenge☆25Updated 10 years ago
- Tutorial on "Modern Optimization Methods in Python"☆18Updated 8 years ago
- Code, notes, etc of completed Kaggle competitions☆22Updated 7 years ago
- 3-day dive into deep learning at csc☆25Updated 7 years ago
- Playing with various deep learning tools and network architectures☆70Updated 7 years ago
- The top 10 solution to the "Growing Instability: Classifying Crisis Reports" challenge☆21Updated 7 years ago