nigeljyng's Stars
commonsense/conceptnet-numberbatch
allenai/deep_qa
A deep NLP library, based on Keras / tf, focused on question answering (but useful for other NLP too)
taivop/joke-dataset
A dataset of 200k English plaintext jokes.
farizrahman4u/seq2seq
Sequence to Sequence Learning with Keras
Blosc/bcolz
A columnar data container that can be compressed.
ryankiros/skip-thoughts
Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"
fastai/courses
fast.ai Courses
tambetm/allenAI
dominiek/python-bhtsne
Python module for Barnes-Hut implementation of t-SNE (Cython)
dennybritz/deeplearning-papernotes
Summaries and notes on Deep Learning research papers
codekansas/insurance_qa_python
Python-formatted InsuranceQA data
codekansas/keras-language-modeling
:book: Some language modeling tools for Keras
facebook/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
kynan/nbstripout
strip output from Jupyter and IPython notebooks
powerpak/jupyter-dark-theme
Dark theme for Jupyter Notebook UI
tdda/tdda
Test-Driven Data Analysis Functions
ragulpr/wtte-rnn
WTTE-RNN a framework for churn and time to event prediction
stan-dev/shinystan
shinystan R package and ShinyStan GUI
tensorflow/models
Models and examples built with TensorFlow
squeaky-pl/japronto
Screaming-fast Python 3.5+ HTTP toolkit integrated with pipelining HTTP server based on uvloop and picohttpparser.
pypa/pipenv
Python Development Workflow for Humans.
pawelad/pymonzo
Modern Python API client for Monzo public API.
falconry/falcon
The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.
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.
blei-lab/edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
parsing-science/pymc3_quickstart_guide
aloctavodia/Statistical-Rethinking-with-Python-and-PyMC3
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
daft-dev/daft
Render probabilistic graphical models using matplotlib
jimeh/git-aware-prompt
Display current Git branch name in your terminal prompt when in a Git working directory.