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jensen-ol

Online Learning built on top of Jensen

jetson-reinforcement

Deep reinforcement learning libraries for NVIDIA Jetson TX1/TX2 with PyTorch, OpenAI Gym, and Gazebo robotics simulator.

jiant

The jiant toolkit for general-purpose text understanding models

jieba

结巴中文分词

jnn

Java Neural Network Library

jobrecsys

ACM RecSys Challenge 2016: Job recommender system for XING

joint-kg-recommender

joint-vae

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:

joint_vae

Code to build VAE models that are jointly conditioned.

jointembedding

Joint Embeddings of Shapes and Images via CNN Image Purification

jointslu

josiahleas.github.io

View multiple TradingView charts on one screen

jptdp

A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing

jquery-plugins

Plugins I have developed for jQuery

js-cloudimage-360-view

Engage your customers with a stunning 360 view of your products

jsonpickle

Python library for serializing any arbitrary object graph into JSON. It can take almost any Python object and turn the object into JSON. Additionally, it can reconstitute the object back into Python.

jspaint

🎨 Classic MS Paint, ＲＥＶＩＶＥＤ + ✨Extras

jupyter-scala

Lightweight Scala kernel for Jupyter / IPython 3

jupyter-themes

Custom Jupyter Notebook Themes

jupyter_contrib_nbextensions

A collection of various notebook extensions for Jupyter

jupyter_tensorboard

Start Tensorboard in Jupyter Notebook

jupyterlab

JupyterLab computational environment.

jupyterlab_xkcd

Random xkcd comic in a JupyterLab panel

justenoughscalaforspark

A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.

jvcr-3dlandmark

Code for "Joint Voxel and Coordinate Regression for Accurate 3D Facial Landmark Localization"

k-poselets

k-poselets CVPR2014 code

kafka-python

Python client for Apache Kafka

kafka-streams-machine-learning-examples

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, DeepLearning4 and other technologies.

kafka-utils

kaggle

Contains all Kaggle meetup documents: tutorials, examples etc.