cinneesol's repositories
awesome-courses
:books: List of awesome university courses for learning Computer Science!
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Conv-Nets-Series
A series of blog posts on convolutional neural networks and their generalizations.
DataScienceR
a curated list of R tutorials for Data Science, NLP and Machine Learning
deep_learning_ex
Deep learning examples
DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
finmarketpy
Python library for backtesting trading strategies and analyzing financial markets (formally pythalesians)
go
The Open Source Data Science Masters
h2o-3
Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA...)
HPOlib
HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization packages: SMAC, spearmint and hyperopt
ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
Pweave
Pweave is a scientific report generator and a literate programming tool for Python. It can capture the results and plots from data analysis and works well with numpy, scipy and matplotlib.
pydata-chicago2016-ml-tutorial
Machine learning with scikit-learn tutorial at PyData Chicago 2016
pyGPs
pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.
Pynance
mega-project containing python scripts and programs to handle all things finance
PythonDataScienceHandbook
Supplemental materials for my OReilly project, the Python Data Science Handbook
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
RoBO
RoBO: a Robust Bayesian Optimization framework
scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
SMAC3
Sequential Model-based Algorithm Configuration
telco-customer-churn-in-r-and-h2o
Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners
tensorflow-tutorial
Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
ThinkPython2
LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.
vtreat
‘vtreat’ is an R data.frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner.
Waldo
Software designed to identify and monitor social/historical cues for stock movement