ediab's Stars
JWarmenhoven/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
kubernetes/kubernetes
Production-Grade Container Scheduling and Management
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
drckf/paysage
Unsupervised learning and generative models in python/pytorch.
yandexdataschool/Practical_RL
A course in reinforcement learning in the wild
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
mandalsubhajit/Kaggle--Expedia-Hotel-Recommendations
Expedia Hotel Recommendations Model
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
dmitru/rankpy
A fork of bitbucket.org/tunystom/rankpy, adapted for Python3 and dmitru/pines
ogrisel/notebooks
Some sample IPython notebooks for scikit-learn
jma127/pyltr
Python learning to rank (LTR) toolkit
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
discobot/LambdaMart
LambdaMart python implementation
arifqodari/ExpediaLearningToRank
Expedia Learning to Rank Hotels to Maximize Purchases, Kaggle Competition
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
ResidentMario/missingno
Missing data visualization module for Python.
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
toddwschneider/flim-springfield
Analysis of The Simpsons