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Name: Ke Young
Type: User
Bio: ME&CS
Name: Ke Young
Type: User
Bio: ME&CS
Publication from my thesis to the 1st LSCVS Workshop at NIPS 2016
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 neural network with something like an attention model :D
Simple implementation of the LSUV initialization in keras
Lung fields segmentation on tomography images using convolutional neural networks.
Code for the paper "Marginalized Average Attentional Network for Weakly-Supervised Learning" (ICLR 2019)
機器學習: Python
[PAMI 2020] Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-segmentation
This is a repository of common helper functions that I have built for other projects.
Free to use online tool for labelling photos. https://makesense.ai
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
MARS: Motion-Augmented RGB Stream for Action Recognition
An re-implement of Mask RCNN with tensorflow and keras.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Fast, modular reference implementation of Semantic Segmentation and Object Detection algorithms in PyTorch.
Code for several state-of-the-art papers in object detection and semantic segmentation.
temporal action detection: benchmark results, features download etc.
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).
Handout for the tutorial "Creating publication-quality figures with matplotlib"
Model converter (PyTorch -> MatConvNet)
a project for developing registration tools with neural networks
Matlab mex implementation of the basic operations for 3D (volume) Convolutional Neural Network
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
Reproduction of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification
Mini-Kinetics-200 data splits used in paper "Rethinking Spatiotemporal Feature Learning For Video Understanding"
Java implementation of miniFlow (deep neural network) with examples
实现Blip2RWKV+QFormer的多模态图文对话大模型,使用Two-Step Cognitive Psychology Prompt方法,仅3B参数的模型便能够出现类人因果思维链。对标MiniGPT-4,ImageBind等图文对话大语言模型,力求以更小的算力和资源实现更好的智能效果。
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.