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amazonaccess

Amazon Employee Access Challenge

awesome-deep-learning-papers

The most cited deep learning papers

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

courses

fast.ai Courses

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning-boot-camp

A community run, 5-day PyTorch Deep Learning Bootcamp

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-workshop

Deep learning workshop materials

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

detect_insults

docker-course-xgboost

Materials for an online-course - "Practical XGBoost in Python"

ensemble_amazon

Code to share different ensemble techniques with focus on meta-stacking , using data from Amazon.com - Employee Access Challenge kaggle competition

gensim-data

Data repository for pretrained NLP models and NLP corpora.

imgaug

Image augmentation for machine learning experiments.

kaggle

Codes for Kaggle Competitions

kaggle-advertised-salaries

Predicting job salaries from ads - a Kaggle competition

kaggle-airbnb-recruiting-new-user-bookings

2nd Place Solution in Kaggle Airbnb New User Bookings competition

kaggle-ensemble-guide

Code for the Kaggle Ensembling Guide Article on MLWave

kaggle-ndsb

Winning solution for the National Data Science Bowl competition on Kaggle (plankton classification)

kaggle-rain

Winning solution to the Kaggle competition - How Much Did It Rain? II

kaggle-solution

Solution Code for Kaggle Competition

kaggle-solutions

kaggle-titanic

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstartes basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

kaggle-web-traffic

1st place solution

kaggle-yelp-restaurant-photo-classification

Winning solution scripts

kaggle2017

Code, notes, etc of completed Kaggle competitions

kaggle_ndsb2017

Kaggle datascience bowl 2017

lectures

Oxford Deep NLP 2017 course