codekansas / pydata-carolinas-2016
My tutorial for PyData Carolinas 2016
☆30Updated 7 years ago
Related projects: ⓘ
- Predict Toxic Comments in the wild☆41Updated 5 years ago
- Winning solution for Analytics Vidhya Mini Hack☆21Updated 7 years ago
- Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark☆32Updated 6 years ago
- Topic Modelling for Humans☆40Updated 6 years ago
- my solutions for oxford's "deep nlp 2017" practical assignments☆65Updated 7 years ago
- ☆25Updated 6 years ago
- Use RNNs to identify entities in news queries☆56Updated 7 years ago
- Topic Modelling for Humans☆22Updated 6 years ago
- This contains materials for the word embeddings workshop☆124Updated 7 years ago
- ☆36Updated 6 years ago
- Character level models for sentiment analysis☆91Updated 7 years ago
- ☆35Updated 5 years ago
- This is the code for the "An intro to probabilistic programming with Uber's Pyro" by Siraj Raval on Youtube☆44Updated 6 years ago
- Deep sentence embedding using Sequence to Sequence learning☆22Updated 7 years ago
- ☆51Updated 6 years ago
- UPCOMING TUTORIAL on Word Representations and how they are important for NLP applications.☆32Updated 7 years ago
- TensorFlow Meetup Talks☆56Updated 6 years ago
- ☆23Updated 7 years ago
- Some tools that I often find myself using in Kaggle challenges.☆31Updated 3 years ago
- Collection of presentation of my work on various platforms and meetups☆22Updated 5 years ago
- ☆46Updated last year
- Using Word2Vec to explore semantic similarities between the entities of "A Song of Ice and Fire" ("Game of Thrones").☆26Updated 8 years ago
- Teal deer (from TL;DR) helps you get the gist of all the stuff you need to read, so you don't have to read it all at once.☆51Updated 2 years ago
- This is the code for "The Evolution of Gradient Descent" by Siraj Raval on Youtube☆62Updated 5 years ago
- The Smart Recruit hackathon on AnalyticsVidhya☆17Updated 8 years ago
- Materials for O'Reilly DL 4 NLP tutorial (NYC, June 2017)☆37Updated 7 years ago
- Sample applications built using AWS' Amazon Machine Learning.☆51Updated 7 years ago
- Codes related to Knocktober 2016☆23Updated 7 years ago
- Keras implementation of the Crepe character-level convolutional neural net.☆74Updated 6 years ago
- Similarity search on Wikipedia using gensim in Python.☆61Updated 5 years ago