bityangke Goto Github PK

lstm-human-activity-recognition

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

lstm_attention

lstmattentionmodel

LSTM neural network with something like an attention model :D

lsuv-keras

Simple implementation of the LSUV initialization in keras

lung-segmentation-3d

Lung fields segmentation on tomography images using convolutional neural networks.

maan

Code for the paper "Marginalized Average Attentional Network for Weakly-Supervised Learning" (ICLR 2019)

machine-learning-python

機器學習: Python

macosnet-pytorch

[PAMI 2020] Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-segmentation

main

This is a repository of common helper functions that I have built for other projects.

make-sense

Free to use online tool for labelling photos. https://makesense.ai

map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

mars

MARS: Motion-Augmented RGB Stream for Action Recognition

mask-rcnn

An re-implement of Mask RCNN with tensorflow and keras.

mask2cad_pytorch

mask_rcnn

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

maskrcnn-benchmark

Fast, modular reference implementation of Semantic Segmentation and Object Detection algorithms in PyTorch.

matconvnet

matconvnet-calvin

Code for several state-of-the-art papers in object detection and semantic segmentation.

materials-temporal-action-detection

temporal action detection: benchmark results, features download etc.

matlab_parse_json_youtube

A function that parses a string to a structure in MATLAB, and modifies Youtube ID field names to avoid an 'Invalid field name' exception (experienced parsing ActivityNet dataset JSON file).

matplotlib_for_papers

Handout for the tutorial "Creating publication-quality figures with matplotlib"

mcnpytorch

Model converter (PyTorch -> MatConvNet)

medical-image-registration

a project for developing registration tools with neural networks

mexconv3d

Matlab mex implementation of the basic operations for 3D (volume) Convolutional Neural Network

mff-keras

Our attempt to port the model described in 'Motion Fused Frames: Data Level Fusion Strategy for Hand Gesture Recognition' as part of Stanford's CS 231N course

mgn-pytorch

Reproduction of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification

mi_max

Multi Instance Perceptron for weakly supervised transfer learning of deep detector - Weakly Supervised Object Detection in Artworks

mini-kinetics-200

Mini-Kinetics-200 data splits used in paper "Rethinking Spatiotemporal Feature Learning For Video Understanding"

miniflow

Java implementation of miniFlow (deep neural network) with examples

minitorch

The full minitorch student suite.