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🤖 Machine Learning Summer School Guide
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
IPython notebooks and data an interactive scikit-learn tutorial.
Tools for mapping a sentence with arbitrary length to vector space
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
Java (convolutional or fully-connected) neural network implementation with plugin for Weka. Uses dropout and rectified linear units.
Weka package for parameter optimization, similar to GridSearch, but with arbitrary number of parameters.
code for our paper Baselines and Bigrams: Simple, Good Sentiment and Topic Classification
machine learning and deep learning tutorials, articles and other resources
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,…
Summaries and notes on Deep Learning research papers