Pinned Repositories
Accent-Classifier
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
chainer-char-rnn
karpathy's char-rnn (https://github.com/karpathy/char-rnn) implementation by Chainer
char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
ChatterBot
ChatterBot is a machine learning, conversational dialog engine for creating chat bots.
CHIPASS-Routines
Python routines for CHIPASS-PLANCK cross-correlation
d3-maps-workshop
Examples, slides, documents for D3 maps workshop
data-science-primer
A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/
dcgan-completion.tensorflow
Image Completion with Deep Learning in TensorFlow
audit-ai
detect demographic differences in the output of machine learning models or other assessments
dwww2012's Repositories
dwww2012/Accent-Classifier
dwww2012/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
dwww2012/chainer-char-rnn
karpathy's char-rnn (https://github.com/karpathy/char-rnn) implementation by Chainer
dwww2012/char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
dwww2012/ChatterBot
ChatterBot is a machine learning, conversational dialog engine for creating chat bots.
dwww2012/dcgan-completion.tensorflow
Image Completion with Deep Learning in TensorFlow
dwww2012/DeepQA
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
dwww2012/examples-in-python
dwww2012/fluent-python-notebooks
Jupyter notebooks and example code for the book Fluent Python
dwww2012/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
dwww2012/hitchhikers-guide
The Hitchhiker's Guide to DSSG
dwww2012/hq_fun
dwww2012/hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
dwww2012/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
dwww2012/LatentlyDeepLearningCertificate
dwww2012/lime
Lime: Explaining the predictions of any machine learning classifier
dwww2012/model_search
dwww2012/oh-my-zsh
A delightful community-driven framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
dwww2012/pyodbc
Python ODBC bridge
dwww2012/python-telegram-tutorial
This is the code for a series of Tutorials that I wrote for Code Mentor.
dwww2012/PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook
dwww2012/scientific_python_cheat_sheet
simple overview of python, numpy, scipy, matplotlib functions that are useful for scientific work
dwww2012/sixpack-py
Python client library for SeatGeek's Sixpack A/B testing framework
dwww2012/sklearn_tutorial
Materials for my scikit-learn tutorial
dwww2012/Spearmint
Spearmint Bayesian optimization codebase
dwww2012/startup_ML
application file for Startup.ML
dwww2012/ThinkComplexity2
Book and code for Think Complexity, 2nd edition
dwww2012/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
dwww2012/WhirlwindTourOfPython
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
dwww2012/xometry