lfloeer's Stars
jlevy/the-art-of-command-line
Master the command line, in one page
matplotlib/matplotlib
matplotlib: plotting with Python
sanic-org/sanic
Accelerate your web app development | Build fast. Run fast.
spotify/luigi
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
kivy/kivy
Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
aio-libs/aiohttp
Asynchronous HTTP client/server framework for asyncio and Python
spotify/annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
MagicStack/uvloop
Ultra fast asyncio event loop.
drivendataorg/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
eclipse-che/che
Kubernetes based Cloud Development Environments for Enterprise Teams
HIPS/autograd
Efficiently computes derivatives of NumPy code.
pyeve/eve
REST API framework designed for human beings
keras-rl/keras-rl
Deep Reinforcement Learning for Keras.
python/typeshed
Collection of library stubs for Python, with static types
nmslib/nmslib
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
stan-dev/stan
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
SheffieldML/GPy
Gaussian processes framework in python
ogrisel/parallel_ml_tutorial
Tutorial on scikit-learn and IPython for parallel machine learning
karpathy/paper-notes
Random notes on papers, likely a short-term repo.
AmazaspShumik/sklearn-bayes
Python package for Bayesian Machine Learning with scikit-learn API
tmadl/semisup-learn
Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
dilinwang820/Stein-Variational-Gradient-Descent
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
mcleonard/sampyl
MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice
takluyver/cite2c
Citations in the Jupyter Notebook
civisanalytics/python-glmnet
A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.
mhamilton723/tseries
A library for time series analysis with sklearn.
kbarbary/nestle
Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.
shahin/sequenceminer
An implementation of the SPADE sequence mining algorithm in Python.
johnhw/tsne_demo
Parametric t-SNE demo