Jean-Baptiste Regli's repositories
Probabilistic-Backpropagation
Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.
autograd
Efficiently computes derivatives of numpy code.
coco
MS COCO API - http://mscoco.org/
deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
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
icp
iterative closest point
keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
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.
OSVOS-TensorFlow
One-Shot Video Object Segmentation
pointnet-1
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
SCHMT
Report
tensorflow
Computation using data flow graphs for scalable machine learning
tensorflow-fcn
An Implementation of Fully Convolutional Networks in Tensorflow.
TensorFlow-World
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
vae_renyi_divergence
A tensorflow implementation of VAE training with Renyi divergence