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machinelearning

This project contain some machine learning algrithm demo.Maybe the code is also useful to you.

machinelearninginaction

machinelearninginaction

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

memdpc

[ECCV'20 Spotlight] Memory-augmented Dense Predictive Coding for Video Representation Learning. Tengda Han, Weidi Xie, Andrew Zisserman.

models

Models and examples built with TensorFlow

modis

modis-sar

motdt

Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-identification

myblogstruts2example

myfirststruts2

MyFirstStruts2

mytest

npy-matlab

Experimental code to read/write NumPy .NPY files in MATLAB

openmht

Python module for multiple hypothesis tracking.

p-cnn

P-CNN: Pose-based CNN Features for Action Recognition

party_01

pgcn

Graph Convolutional Networks for Temporal Action Localization (ICCV2019)

pose-attention

Code for "Multi-Context Attention for Human Pose Estimation " (CVPR 2017)

pose-hg-train

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

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

pytorch_fine_tuning_tutorial

A short tutorial on performing fine tuning or transfer learning in PyTorch.

sa_lstm

Adaptive Spatial Attention for Image Captioning

siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

sklearn-step

sklearn

social-lstm-pytorch

PyTorch implementation of the Social LSTM model

social-scene-understanding

Source code for the CVPR 2017 paper

spp_net

SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

srnn-pytorch

Structural RNN using PyTorch

sst

Single Shot Tracker

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch