jianangao Goto Github PK

18335

18.335 - Introduction to Numerical Methods course

corr_tf

An implementation of the FlowNetC correlation layer in tensorflow

deep-tutorials

A collection of tutorials from Deep Learning conferences.

dp-nmf

Robust Extension of NMF by embedding Denoising Autoencoders

files

gan-manifold-regularization

This is the code we used in our paper accepted at ICLR workshop 2018

hayslab.github.io

HaysLab Website

libnmf

Optimization and Regularization variants of NMF

lie

A python interface to the computer algebra package LiE, for computations with Lie groups, representations, etc..

lienet

Source code for "Deep Learning on Lie Groups for Skeleton-based Action Recognition", CVPR 2017.

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow.

object_detection_map

a script to compute mAP in object detection

parallel_nms

Parallel CUDA implementation of NON maximum Suppression

py-motmetrics

:bar_chart: Benchmark multiple object tracker (MOT) in Python

pymot

Objective evaluation of tracker performance with the Multiple Object Tracking (MOT) measures.

rec-attend-public

Code that implements paper "End-to-End Instance Segmentation with Recurrent Attention"

rfcn-tensorflow

RFCN implementation in TensorFlow

slambook

svd

Python code implementing the power method for Singular Value Decomposition

tensorflow

Computation using data flow graphs for scalable machine learning

ubuntu_from_scratch

Installation guide for commonly needed libarys/programms for DL/CV