Tianfu (Matt) Wu's repositories
awesome-emacs
A community driven list of useful Emacs packages, libraries and others.
nnvm
Intermediate Computational Graph Representation for Deep Learning Systems
awesome-rl
Reinforcement learning resources curated
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
FaceDetection-ConvNet-3D
Source code for our ECCV16 paper, Face Detection with End-to-End Integration of a ConvNet and a 3D Model
research
comma.ai for the people to experiment with
4dface
Real-time 3D face tracking and reconstruction from 2D video
papers
Collection of papers
convolutional-pose-machines-release
Code repository for Convolutional Pose Machines
dl-setup
Instructions for setting up the software on your deep learning machine
caffe-tensorflow
Caffe models in TensorFlow
opengm
A C++ Library for Discrete Graphical Models
keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.
AOGDetector
Source code for object detection with And-Or Graphs
ubuntu-post-install
A set of post-installation shell scripts for Ubuntu
mxnet
efficient, flexible, distributed deep learning framework
RGM-AOGTracker
Source code for online object tracking, learning and parsing (TLP)
amazon-dsstne
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
export_fig
A MATLAB toolbox for exporting publication quality figures
dilation
Dilated Convolution for Semantic Image Segmentation
cayley
An open-source graph database
picpoc
An image storage for deep learning.
SqueezeNet
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
centos7-deep
setup centos7 deep learning environment