I created My own Virtual Artificial Intelligence named genesis, He can assist with my Tasks and also perform some analysis,,

Last update: Nov 05, 2021

Overview

Virtual-Artificial-Intelligence-genesis-

I created My own Virtual Artificial Intelligence named genesis, He can assist with my Tasks and also perform some analysis,, Contact me for full project Link!!

Commands: 'play' "translate" "wake up" 'time' "who are you" "what is" "offers" "do you know about" 'what can you do' 'open chrome' 'search 'joke' "reminder" "remind me" "can you calculate" "scan' 'check my whatsapp' 'instagram' 'in youtube' gmail' 'trace' "type "want to know about' etc

Owner

AKASH M

String newLine = System.getProperty("line.separator"); System.out.println("i am a programmer"+newline+"Gamer"+newline+"and a CSE student");

GitHub Repository

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I created My own Virtual Artificial Intelligence named genesis, He can assist with my Tasks and also perform some analysis,,

Related tags

Overview

Virtual-Artificial-Intelligence-genesis-

Owner

AKASH M

IPATool-py: download ipa easily

Compare neural networks by their feature similarity

Official implementation of the Neurips 2021 paper Searching Parameterized AP Loss for Object Detection.

Framework for Spectral Clustering on the Sparse Coefficients of Learned Dictionaries

Facilitating Database Tuning with Hyper-ParameterOptimization: A Comprehensive Experimental Evaluation

A Comparative Review of Recent Kinect-Based Action Recognition Algorithms (TIP2020, Matlab codes)

NuPIC Studio is an all-in-one tool that allows users create a HTM neural network from scratch

TinyML Cookbook, published by Packt

ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

7th place solution of Human Protein Atlas - Single Cell Classification on Kaggle

This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on cityscapes and camvid, without using inference acceleration and extra data

VACA: Designing Variational Graph Autoencoders for Interventional and Counterfactual Queries

Exact Pareto Optimal solutions for preference based Multi-Objective Optimization

PyTorch implementation of hand mesh reconstruction described in CMR and MobRecon.

Learning Open-World Object Proposals without Learning to Classify

Official Pytorch implementation of "Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes", CVPR 2022

Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR)

Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"

Implementations of CNNs, RNNs, GANs, etc

I created My own Virtual Artificial Intelligence named genesis, He can assist with my Tasks and also perform some analysis,,

Related tags

Overview

Virtual-Artificial-Intelligence-genesis-

Owner

AKASH M

IPATool-py: download ipa easily

Compare neural networks by their feature similarity

Official implementation of the Neurips 2021 paper Searching Parameterized AP Loss for Object Detection.

Framework for Spectral Clustering on the Sparse Coefficients of Learned Dictionaries

Facilitating Database Tuning with Hyper-ParameterOptimization: A Comprehensive Experimental Evaluation

A Comparative Review of Recent Kinect-Based Action Recognition Algorithms (TIP2020, Matlab codes)

NuPIC Studio is an all­-in-­one tool that allows users create a HTM neural network from scratch

TinyML Cookbook, published by Packt

ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

7th place solution of Human Protein Atlas - Single Cell Classification on Kaggle

This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on cityscapes and camvid, without using inference acceleration and extra data

VACA: Designing Variational Graph Autoencoders for Interventional and Counterfactual Queries

Exact Pareto Optimal solutions for preference based Multi-Objective Optimization

PyTorch implementation of hand mesh reconstruction described in CMR and MobRecon.

Learning Open-World Object Proposals without Learning to Classify

Official Pytorch implementation of "Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes", CVPR 2022

Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR)

Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"

Implementations of CNNs, RNNs, GANs, etc

NuPIC Studio is an all-in-one tool that allows users create a HTM neural network from scratch