David Weisberger's repositories

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

Language:PythonLicense:NOASSERTIONStargazers:0Issues:0Issues:0

chainer-char-rnn

karpathy's char-rnn (https://github.com/karpathy/char-rnn) implementation by Chainer

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

Language:LuaStargazers:0Issues:1Issues:0

ChatterBot

ChatterBot is a machine learning, conversational dialog engine for creating chat bots.

Language:PythonLicense:BSD-3-ClauseStargazers:0Issues:0Issues:0

dcgan-completion.tensorflow

Image Completion with Deep Learning in TensorFlow

Language:PythonLicense:NOASSERTIONStargazers:0Issues:1Issues:0

DeepQA

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0

fluent-python-notebooks

Jupyter notebooks and example code for the book Fluent Python

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

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.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:0Issues:0

hitchhikers-guide

The Hitchhiker's Guide to DSSG

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:1Issues:0

hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

Language:Jupyter NotebookStargazers:0Issues:0Issues:0
License:UnlicenseStargazers:0Issues:0Issues:0

lime

Lime: Explaining the predictions of any machine learning classifier

Language:JavaScriptLicense:BSD-2-ClauseStargazers:0Issues:1Issues:0
License:Apache-2.0Stargazers:0Issues:0Issues:0

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.

Language:ShellLicense:NOASSERTIONStargazers:0Issues:2Issues:0

pyodbc

Python ODBC bridge

Language:PythonLicense:MIT-0Stargazers:0Issues:1Issues:0

python-telegram-tutorial

This is the code for a series of Tutorials that I wrote for Code Mentor.

Language:PythonStargazers:0Issues:0Issues:0

PythonDataScienceHandbook

Jupyter Notebooks for the Python Data Science Handbook

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

scientific_python_cheat_sheet

simple overview of python, numpy, scipy, matplotlib functions that are useful for scientific work

Language:HTMLLicense:CC-BY-4.0Stargazers:0Issues:1Issues:0

sixpack-py

Python client library for SeatGeek's Sixpack A/B testing framework

Language:PythonLicense:NOASSERTIONStargazers:0Issues:0Issues:0

sklearn_tutorial

Materials for my scikit-learn tutorial

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:0Issues:0Issues:0

Spearmint

Spearmint Bayesian optimization codebase

Language:PythonLicense:NOASSERTIONStargazers:0Issues:1Issues:0

startup_ML

application file for Startup.ML

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

ThinkComplexity2

Book and code for Think Complexity, 2nd edition

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

ThinkStats2

Text and supporting code for Think Stats, 2nd Edition

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:0Issues:0Issues:0

WhirlwindTourOfPython

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

Language:Jupyter NotebookLicense:CC0-1.0Stargazers:0Issues:1Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0