A library for developing deep generative models in a more concise, intuitive and extendable way

Fast and accurate single-person pose estimation, ranked 10th at CVPR'19 LIP challenge. Contains implementation of "Global Context for Convolutional Pose Machines" paper.

Markerless pose estimation of user-defined features with deep learning for all animals, including humans

Intel(R) RealSense(TM) ROS Wrapper for D400 series and SR300 Camera

Openpose from CMU implemented using Tensorflow with Custom Architecture for fast inference.

Python bindings to the pointcloud library (pcl)

Pythonic bindings for FFmpeg.

deep extensions to nn

Gaussian processes framework in python

gvnn: Geometric Vision with Neural Networks

Gaussian processes in TensorFlow

Random Forest - a curated list of resources regarding random forest

Training and experimentation code used for "Stacked Hourglass Networks for Human Pose Estimation"

Point Cloud Library (PCL) bindings for Torch

Torch on steroids

Simple ctypes extension to the librealsense library.

Implementation of Variational Auto-Encoder in Torch7

📷 Cross-platform camera capture for Intel® RealSense™ F200, SR300 and R200

An Image toolbox for Torch.

Iterative Error Feedback

Use torch in python for deep learning.

Demos and tutorials around Torch7.

An extension to Torch7's nn package.