gdmarmerola's Stars
EbookFoundation/free-programming-books
:books: Freely available programming books
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
visenger/awesome-mlops
A curated list of references for MLOps
dive-into-machine-learning/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.)
clips/pattern
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
hyperopt/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
careercup/CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
airbnb/aerosolve
A machine learning package built for humans.
johnmyleswhite/ML_for_Hackers
Code accompanying the book "Machine Learning for Hackers"
benfred/implicit
Fast Python Collaborative Filtering for Implicit Feedback Datasets
tensorflow/skflow
Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning
rguo12/awesome-causality-algorithms
An index of algorithms for learning causality with data
scikit-learn-contrib/hdbscan
A high performance implementation of HDBSCAN clustering.
matheusfacure/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
RJT1990/pyflux
Open source time series library for Python
DmitryUlyanov/Multicore-TSNE
Parallel t-SNE implementation with Python and Torch wrappers.
stanfordmlgroup/ngboost
Natural Gradient Boosting for Probabilistic Prediction
aigamedev/scikit-neuralnetwork
Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.
brendenlake/BPL
Bayesian Program Learning model for one-shot learning
AmazaspShumik/sklearn-bayes
Python package for Bayesian Machine Learning with scikit-learn API
rguo12/awesome-causality-data
A data index for learning causality.
wcota/covid19br
COVID-19 data in Brazil: cases, deaths, and vaccination at municipal (city) level. Description of the data: https://github.com/wcota/covid19br/blob/master/DESCRIPTION.en.md and https://doi.org/10.1590/SciELOPreprints.362
loft-br/xgboost-survival-embeddings
Improving XGBoost survival analysis with embeddings and debiased estimators
distillpub/post--misread-tsne
How to Use t-SNE Effectively
oxai/deepsaber
A deep learning approach to generating Beat Saber levels
aiwabdn/pygln
Python implementation of GLN in different frameworks
andrewtavis/causeinfer
Machine learning based causal inference/uplift in Python
crunchiness/lernd
Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.
bigdatabr/interactive-intro-rl
Big Data's open seminars: An Interactive Introduction to Reinforcement Learning
fmfn/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