Julien Raffaud's starred repositories
scikit-learn
scikit-learn: machine learning in Python
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.
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
awesome-rl
Reinforcement learning resources curated
awesome-machine-learning-on-source-code
Cool links & research papers related to Machine Learning applied to source code (MLonCode)
decisiontree
ID3-based implementation of the ML Decision Tree algorithm
symbolic_deep_learning
Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
tsa-notebooks
Jupyter notebooks on time series econometrics topics.