jbregli Goto Github PK

2016_icip

autograd

Efficiently computes derivatives of numpy code.

axa

bayesian-rnn

bnn-analysis

coco

MS COCO API - http://mscoco.org/

conv-vae

Convolutional Variational Autoencoder for EC2 GPU instance test

coursera_practicalmachinelearning

Repo for the Practical Machine Learning course by Jeff Leek, Brian Caffo, and Roger D. Peng on Coursera

datasci_course_materials

Public repository for course materials for the Spring 2013 session of Introduction to Data Science, an online coursera course.

day4-vae

deep_q_rl

Theano-based implementation of Deep Q-learning

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

dmp_gestures

Gesture learning and execution via DMPs

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

edward_tuto

Scripts for Edward tutorial

gitignore

A collection of useful .gitignore templates

hidden_markov_tree_master

higgs

icp

iterative closest point

keras

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

keras-frcnn

models

Models and examples built with TensorFlow

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

nips14-ssl

Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"

nips2015_vrnn

osvos-tensorflow

One-Shot Video Object Segmentation

pbjson

Json to protocol buffers proto file and pb msg object

pointnet-1

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

probabilistic-backpropagation

Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.

pybo

Python package for modular Bayesian optimization