uclaacmai / paper-analysisLinks
Analysis & Implementation of deep learning papers for paper reading sessions
☆16Updated 7 years ago
Alternatives and similar repositories for paper-analysis
Users that are interested in paper-analysis are comparing it to the libraries listed below
Sorting:
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆80Updated 8 years ago
- My exhaustive repo of free deep learning resources☆50Updated 8 years ago
- An introduction to implementing a number of scikit-learn classifiers, along with some data exploration☆102Updated 9 years ago
- This contains materials for the word embeddings workshop☆127Updated 8 years ago
- Slides and code examples for H2O tutorials at various events☆56Updated 8 years ago
- Collection of lectures and talks I've given on Computer Vision and Deep Learning☆28Updated 7 years ago
- R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation☆108Updated 6 years ago
- Abridged implementation of the official scikit-learn beginner tutorials☆51Updated 9 years ago
- In-class exercises for Deep Learning course at NYC Data Science Academy☆32Updated 7 years ago
- Code, Slides, & Materials for our Tensorflow Workshop Series for Spring Quarter 2017☆64Updated 7 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 7 years ago
- Code for O'Reilly's "A Short Course on TensorFlow"☆104Updated 8 years ago
- ☆57Updated 8 years ago
- Slides and materials for most of my talks by year☆92Updated 2 years ago
- The Smart Recruit hackathon on AnalyticsVidhya☆17Updated 9 years ago
- Analysis & Implementation of deep learning papers☆12Updated 7 years ago
- Public web page for brohrer☆98Updated 5 years ago
- Applied Machine Learning @ http://amitkaps.com/ml☆39Updated 6 years ago
- "Network/Graph Analysis in Python" repository of 3 hours training session held at ODSC East 2018 and JupyterCon 2018.☆37Updated 7 years ago
- Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.☆37Updated 5 years ago
- Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark☆32Updated 7 years ago
- Notes for Data Science 350 Class☆24Updated 8 years ago
- Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA☆137Updated 8 years ago
- Notes for several Machine Learning and Deep Learning courses, textbooks, and talks☆58Updated 6 years ago
- An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.☆16Updated 8 years ago
- Materials for the course of machine learning at Imperial College organized by Yandex SDA☆84Updated 8 years ago
- Material for UW Extension Data Science 350☆19Updated 7 years ago
- Collection of presentation of my work on various platforms and meetups☆22Updated 6 years ago
- Talk "Deep Learning From Scratch Using Python" delivered at ODSC West on November 4, 2017☆32Updated 7 years ago