Guilherme Duarte Marmerola's starred repositories
free-programming-books
:books: Freely available programming books
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
awesome-mlops
A curated list of references for MLOps
dive-into-machine-learning
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
ML_for_Hackers
Code accompanying the book "Machine Learning for Hackers"
awesome-causality-algorithms
An index of algorithms for learning causality with data
python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Multicore-TSNE
Parallel t-SNE implementation with Python and Torch wrappers.
scikit-neuralnetwork
Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.
sklearn-bayes
Python package for Bayesian Machine Learning with scikit-learn API
awesome-causality-data
A data index for learning causality.
xgboost-survival-embeddings
Improving XGBoost survival analysis with embeddings and debiased estimators
post--misread-tsne
How to Use t-SNE Effectively
causeinfer
Machine learning based causal inference/uplift in Python
interactive-intro-rl
Big Data's open seminars: An Interactive Introduction to Reinforcement Learning
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes