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Name: Mritula Chandrasekaran
Type: User
Company: Kingston University
Bio: PhD student working on Gait analysis
Location: London
Name: Mritula Chandrasekaran
Type: User
Company: Kingston University
Bio: PhD student working on Gait analysis
Location: London
100 Days of ML Coding
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19
๐งโ๐ซ 60 Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐ง
A collection of AWESOME things about Gait Recognition
C3DPO - Canonical 3D Pose Networks for Non-rigid Structure From Motion.
One of the most significant human characteristics is motion ability, which includes gait as the foundation of human transitional movement. Many academics had concentrated on this topic in order to consider a novel recognition system. Many human gait datasets have been developed in the previous ten years. The Gait Dataset of the University of South Florida (USF), the Gait Dataset of the Chinese Academy of Sciences (CASIA), and the Gait Dataset of Southampton University (SOTON) are some of the most extensively utilised datasets. The CASIA Gait Dataset will be examined in this research to determine its properties.Gait patterns were gathered in this investigation utilising a wireless platform with two sensors attached to the individualsโ chest and right ankle. The raw data was then subjected to certain preprocessing techniques.The performance of many temporal and frequency domain features is evaluated using five different classifiers, and a full comparison is made in this work.
Sample codes for practice
The best and easiest way to visualize your computer vision models inferences.
Datascience Forked repository
The Leek group guide to data sharing
Introduction to Deep Neural Networks with Keras and Tensorflow
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
Repository for few-shot learning machine learning projects
Official repository for GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition
Demostrate generative adversarial networks (GAN) technology in generating anddescriminate time-sequence, using Tensorflow to implement
Documenting the GAN Learnning
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
Traffic Graph Convolutional Recurrent Neural Network
This repository implement the code behind HP-GAN paper (https://arxiv.org/abs/1711.09561).
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Keras implementation of Deep Convolutional Generative Adversarial Networks
Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"
How to build a Multilayered LSTM Network to infer Stock Market sentiment from social conversation using TensorFlow.
๐ Sharing course notes on all topics related to machine learning, NLP, and AI.
Modern-Python-Cookbook-Second-Edition, published by Packt
A library for transfer learning by reusing parts of TensorFlow models.
OpenNI
Solve optimal control problems for musculoskeletal models using OpenSim and direct collocation.
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An Open Source Machine Learning Framework for Everyone
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Bring data to life with SVG, Canvas and HTML. ๐๐๐
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
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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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.