Pinned Repositories
2016_ICIP
autograd
Efficiently computes derivatives of numpy code.
Axa
bayesian-rnn
bnn-analysis
coco
MS COCO API - http://mscoco.org/
Coursera_PracticalMachineLearning
Repo for the Practical Machine Learning course by Jeff Leek, Brian Caffo, and Roger D. Peng on Coursera
Hidden_markov_tree_master
Probabilistic-Backpropagation
Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.
Stacked_auto_encoders
Python implementation of deep auto encoders
jbregli's Repositories
jbregli/Hidden_markov_tree_master
jbregli/Probabilistic-Backpropagation
Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.
jbregli/2016_ICIP
jbregli/autograd
Efficiently computes derivatives of numpy code.
jbregli/bayesian-rnn
jbregli/bnn-analysis
jbregli/coco
MS COCO API - http://mscoco.org/
jbregli/conv-vae
Convolutional Variational Autoencoder for EC2 GPU instance test
jbregli/day4-VAE
jbregli/deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
jbregli/edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
jbregli/edward_tuto
Scripts for Edward tutorial
jbregli/gitignore
A collection of useful .gitignore templates
jbregli/icp
iterative closest point
jbregli/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
jbregli/keras-frcnn
jbregli/models
Models and examples built with TensorFlow
jbregli/neuraltalk
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
jbregli/nips2015_vrnn
jbregli/OSVOS-TensorFlow
One-Shot Video Object Segmentation
jbregli/pointnet-1
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
jbregli/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
jbregli/ros
jbregli/SCHMT
Report
jbregli/spacemacs
jbregli/tensorflow
Computation using data flow graphs for scalable machine learning
jbregli/tensorflow-fcn
An Implementation of Fully Convolutional Networks in Tensorflow.
jbregli/TensorFlow-World
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
jbregli/tutorials
A series of machine learning tutorials for Torch7
jbregli/vae_renyi_divergence
A tensorflow implementation of VAE training with Renyi divergence