mbh86's Stars
tmobile/r-tensorflow-api
A small Docker container for using R and TensorFlow as an enterprise API
gsurma/style_transfer
CNN image style transfer 🎨.
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
florimondmanca/kafka-fraud-detector
🚨 Simple, self-contained fraud detection system built with Apache Kafka and Python
JasonLiTW/simple-railway-captcha-solver
實作基於CNN的台鐵訂票驗證碼辨識以及透過模仿及資料增強的訓練集產生器 (Simple captcha solver based on CNN and a training set generator by imitating the style of captcha and data augmentation)
henckr/distRforest
R implementation for random forests with distribution-based loss functions
jupyter-incubator/sparkmagic
Jupyter magics and kernels for working with remote Spark clusters
rocket-league-replays/rocket-league-replays
Replay database and parser for Rocket League
jrjohansson/scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
gingeleski/odds-portal-scraper
Sports odds and results scraping for Odds Portal (oddsportal.com).
sleepomeno/tennis_atp
ATP Tennis Rankings, Results, and Stats
JeffSackmann/tennis_atp
ATP Tennis Rankings, Results, and Stats
kailashahirwar/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
rasbt/python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
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.
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.)
ujjwalkarn/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
ujjwalkarn/DataSciencePython
common data analysis and machine learning tasks using python
vinta/awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
keras-team/keras
Deep Learning for humans
rstudio/shiny-examples
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks