Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
2s-AGCN
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Awesomegaitrecognition
A collection of AWESOME things about Gait Recognition
c3dpo_nrsfm
C3DPO - Canonical 3D Pose Networks for Non-rigid Structure From Motion.
CASIA-B-GaitAnalysis
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 individuals’ 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.
cvplayer
The best and easiest way to visualize your computer vision models inferences.
datasciencecoursera
Datascience Forked repository
GaitGraph
Official repository for GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition
MritulaC's Repositories
MritulaC/GaitGraph
Official repository for GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition
MritulaC/100-Days-Of-ML-Code
100 Days of ML Coding
MritulaC/annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
MritulaC/Awesomegaitrecognition
A collection of AWESOME things about Gait Recognition
MritulaC/c3dpo_nrsfm
C3DPO - Canonical 3D Pose Networks for Non-rigid Structure From Motion.
MritulaC/CASIA-B-GaitAnalysis
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 individuals’ 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.
MritulaC/Coding
Sample codes for practice
MritulaC/cvplayer
The best and easiest way to visualize your computer vision models inferences.
MritulaC/deep-learning-keras-tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
MritulaC/EvoSkeleton
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
MritulaC/GANs-Learning
Documenting the GAN Learnning
MritulaC/gnn
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
MritulaC/hpgan
This repository implement the code behind HP-GAN paper (https://arxiv.org/abs/1711.09561).
MritulaC/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
MritulaC/Lifting-from-the-Deep-release
Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"
MritulaC/ML-Course-Notes
🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.
MritulaC/Modern-Python-Cookbook-Second-Edition
Modern-Python-Cookbook-Second-Edition, published by Packt
MritulaC/Movenet
A library for transfer learning by reusing parts of TensorFlow models.
MritulaC/opensim-moco
Solve optimal control problems for musculoskeletal models using OpenSim and direct collocation.
MritulaC/pathological_gait_datasets
Skeleton datasets for Normal, Antalgic, Stiff legged, Lurching, Steppage, and Trendelenburg gaits.
MritulaC/PoseGait
MritulaC/predictive-gait-sims-pfjloading-mtlb
MritulaC/Python-Roadmap-2022
Learning Python Programming
MritulaC/ResGCNv1
ResGCN: an efficient baseline for skeleton-based human action recognition.
MritulaC/roboespas
MritulaC/SCONE
Open Source Software for Predictive Simulation of Biological Motion.
MritulaC/test_repo
Test repository for data science class
MritulaC/TimeGAN
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
MritulaC/TimeGANPytorch
A pytorch implementation of Time-series Generative Adversarial Networks (https://github.com/jsyoon0823/TimeGAN)
MritulaC/ydata-synthetic
Synthetic structured data generators