pourya-ir's Stars
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
rasbt/python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
kjw0612/awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
careercup/CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
Spandan-Madan/DeepLearningProject
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
rasbt/pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
udacity/machine-learning
Content for Udacity's Machine Learning curriculum
ResidentMario/missingno
Missing data visualization module for Python.
benfred/implicit
Fast Python Collaborative Filtering for Implicit Feedback Datasets
maciejkula/spotlight
Deep recommender models using PyTorch.
rasbt/deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
amaas/stanford_dl_ex
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
kaz-Anova/StackNet
StackNet is a computational, scalable and analytical Meta modelling framework
reiinakano/xcessiv
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
JostineHo/mememoji
A facial expression classification system that recognizes 6 basic emotions: happy, sad, surprise, fear, anger and neutral.
hse-aml/intro-to-dl
Resources for "Introduction to Deep Learning" course.
quora/qmf
A fast and scalable C++ library for implicit-feedback matrix factorization models
vict0rsch/deep_learning
Deep Learning Resources and Tutorials using Keras and Lasagne
Dataweekends/zero_to_deep_learning_video
Repository for the Zero to Deep Learning® Video Course
ParrotPrediction/docker-course-xgboost
Materials for an online-course - "Practical XGBoost in Python"
rasbt/data-science-tutorial
Code material for a data science tutorial
EthanRosenthal/torchmf
matrix factorization in PyTorch
MichaelAHood/real_estate_recommender
A personalized real estate recommender system that I built as part of my final project for the Data Science Intensive at Galvanize
maciejkula/netrex
Neural network recommendation models in PyTorch
dhrushilbadani/deeplearning-timeseries
Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]
CSKrishna/Recommender-Systems-for-Implicit-Feedback-datasets
Matrix Factorization augmented with customer item meta data
hughdbrown/capstone
Capstone project for Galvanize Data Science Immersive
buswedg/Coursera
JeromeBlanchet/Modelling-Allstate-Claims-Severity
Modelling Allstate Claims Severity (June 2017) ⊕