ChandanKSahu's Stars
CommonCoreOntology/CommonCoreOntologies
The Common Core Ontology Repository holds the current released version of the Common Core Ontology suite.
PacktPublishing/Machine-Learning-for-Imbalanced-Data
Machine Learning for Imbalanced Data, published by Packt
steveazzolin/gdl_tutorial_turinginst
Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute
AutodeskAILab/JoinABLe
JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints
VincenzoFerrero/OSDR-GNN
Dataset and Code for IDETC publication: EXTRACTING FUNCTIONAL KNOWLEDGE FROM PRODUCT ASSEMBLIES WITHGRAPH NEURAL NETWORKS
benedekrozemberczki/pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
danielegrandi-adsk/IDETC23-Autodesk-hackathon
danielegrandi-adsk/material-gnn
AutodeskAILab/Fusion360GalleryDataset
Data, tools, and documentation of the Fusion 360 Gallery Dataset
SkalskiP/courses
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
edsu/etudier
Extract a citation network from Google Scholar
fischJan/CiRA
System behavior is often expressed by causal relations in requirements (e.g. if event 1 then event 2). Automatically extracting this embedded causal knowledge supports not only reasoning about requirements dependencies, but also various automated engineering tasks such as seamless derivation of test cases. However, causality extraction from natural language (NL) is still an open research challenge as existing approaches fail to extract causality with reasonable performance.
RealsearchGroup/NFRLocator
Project to find and categorize non-functional requirements within unconstrained natural language documents. Contains NFR category listing, labeled documents, and software
higham/what-is
Important concepts in numerical linear algebra and related areas
clemsonciti/palmetto-examples
Example Palmetto tasks
luxiaodong/Book
jphall663/awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
manlius/muxViz
Analysis and Visualization of Interconnected Multilayer Networks
quantumiracle/Popular-RL-Algorithms
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
kengz/awesome-deep-rl
A curated list of awesome Deep Reinforcement Learning resources.
ortiz1093/requirements_modeling
google/tangent
Source-to-Source Debuggable Derivatives in Pure Python
google/brax
Massively parallel rigidbody physics simulation on accelerator hardware.
fengjincao/AeroReqDemoForFSE
mdabashar/Deep-Learning-Algorithms
CNN, LSTM, RNN, GRU, DNN, BERT, Transformer, ULMFiT
mukul-rathi/deep-learning-tutorials
Code accompanying Deep Learning tutorials on blog - including implementations of CNN and LSTM from scratch
bellatoris/PoseNet
youngguncho/PoseNet-Pytorch
Implementation of PoseNet using pytorch
futurely/deep-camera-relocalization
VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization, Geometric loss functions for camera pose regression with deep learning, PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization
ElephantGit/pytorch-posenet