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aang

Superior, precise, scalable NLU for creating natural language interfaces.

addutils

all_in_one_folder

bootcamp1_example

Created for toolchain: https://console.ng.bluemix.net/devops/toolchains/ed26b5bf-2781-4a70-a3f2-b29d9b2dca36

cc-pyspark

Process Common Crawl data with Python and Spark

cevae

Causal Effect Inference with Deep Latent-Variable Models

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

d3-context-menu

A plugin for d3.js that allows you to easy use context-menus in your visualizations.

dnc

Implementation of the Differentiable Neural Computer in Tensorflow

docker-janusgraph

Docker container images for JanusGraph.

fa_kit

Factor Analysis Kit

fit-sne

Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)

graph2vec_tf

graphexp

Interactive visualization of the Gremlin graph database with D3.js

gremlin-python

Gremlin for the Python Language

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.

keras-transformer

Keras library for building (Universal) Transformers, facilitating BERT and GPT models

keras-vggface

VGGFace implementation with Keras Framework

keras_weight_animator

Save keras weight matrices as short animated videos during training

kerasquantilemodel

learn-gremlin-jupyter-notebook

As a believer of learning through examples, I have decided to put my own examples of Gremlin queries inside Jupyter Notebooks for people to actually try out. The course is roughly based on this book (http://kelvinlawrence.net/book/Gremlin-Graph-Guide.pdf) by krlawrence but adapted into Python for execution inside a Jupyter Notebook.

mixture-density-networks-for-distribution-and-uncertainty-estimation

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

moduler

Scalable Prediction Services with R

participants

Answers to exercises, questions and other artifacts from the bootcamp participants

pycausality

Calculate predictive causality between time series using information-theoretic techniques

python-natty

A basic python wrapper for Natty natural language date parser

pyworkshop2

q-trader

Deep Q-learning driven stock trader bot

qtrader

Reinforcement Learning for Portfolio Management