Python based Advanced AI Assistant

Last update: Nov 15, 2022

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Overview

https://img.shields.io/github/issues/iamDyeus/KnickAI https://img.shields.io/github/forks/iamDyeus/KnickAI https://img.shields.io/github/stars/iamDyeus/KnickAI https://img.shields.io/github/license/iamDyeus/KnickAI

KnickAI

Knick is a virtual artificial intelligence project, fully developed in python. The objective of this project is to develop a virtual assistant that can handle our minor, intermediate as well as heavy tasks which we usually don’t want to do or don't wish to do.

Requirements

Use the package manager pip to install all the Requirements.

pip install -r requirements.txt

Contributions

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT

Owner

In a World Where you could be anyone, i'll just try to be myself.

GitHub Repository

Image Deblurring using Generative Adversarial Networks

DeblurGAN arXiv Paper Version Pytorch implementation of the paper DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks. Our netwo

2.2k Jan 01, 2023

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Weakly Supervised Segmentation with TensorFlow This repo contains a TensorFlow implementation of weakly supervised instance segmentation as described

220 Dec 13, 2022

NHL 94 AI contests

nhl94-ai The end goals of this project is to: Train Models that play NHL 94 Support AI vs AI contests in NHL 94 Provide an improved AI opponent for NH

2 Dec 06, 2021

kullanışlı ve işinizi kolaylaştıracak bir araç

Hey merhaba! işte çok sorulan sorularının cevabı ve sorunlarının çözümü; Soru= İçinde var denilen birçok şeyi göremiyorum bunun sebebi nedir? Cevap= B

16 Dec 17, 2022

BEAMetrics: Benchmark to Evaluate Automatic Metrics in Natural Language Generation

BEAMetrics: Benchmark to Evaluate Automatic Metrics in Natural Language Generation Installing The Dependencies $ conda create --name beametrics python

7 Jul 04, 2022

A non-linear, non-parametric Machine Learning method capable of modeling complex datasets

Fast Symbolic Regression Symbolic Regression is a non-linear, non-parametric Machine Learning method capable of modeling complex data sets. fastsr aim

3 Jun 22, 2022

[Arxiv preprint] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)

Causality-inspired Single-source Domain Generalization for Medical Image Segmentation Arxiv preprint Repository under construction. Might still be bug

31 Dec 27, 2022

Code for Boundary-Aware Segmentation Network for Mobile and Web Applications

BASNet Boundary-Aware Segmentation Network for Mobile and Web Applications This repository contain implementation of BASNet in tensorflow/keras. comme

8 Nov 24, 2022

reimpliment of DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation

DFANet This repo is an unofficial pytorch implementation of DFANet:Deep Feature Aggregation for Real-Time Semantic Segmentation log 2019.4.16 After 48

248 Oct 21, 2022

This project provides the code and datasets for 'CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection', CVPR 2019.

Code-and-Dataset-for-CapSal This project provides the code and datasets for 'CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detec

48 Aug 19, 2022

Python based Advanced AI Assistant

Related tags

Overview

KnickAI

Requirements

Contributions

License

Owner

Image Deblurring using Generative Adversarial Networks

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

NHL 94 AI contests

kullanışlı ve işinizi kolaylaştıracak bir araç

BEAMetrics: Benchmark to Evaluate Automatic Metrics in Natural Language Generation

A non-linear, non-parametric Machine Learning method capable of modeling complex datasets

[Arxiv preprint] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)

Code for Boundary-Aware Segmentation Network for Mobile and Web Applications

reimpliment of DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation

This project provides the code and datasets for 'CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection', CVPR 2019.

Newt - a Gaussian process library in JAX.

An pytorch implementation of Masked Autoencoders Are Scalable Vision Learners

graph-theoretic framework for robust pairwise data association

Simple tutorials on Pytorch DDP training

object detection; robust detection; ACM MM21 grand challenge; Security AI Challenger Phase VII

code for Fast Point Cloud Registration with Optimal Transport

Simple codebase for flexible neural net training

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

PyTorch implementation of the WarpedGANSpace: Finding non-linear RBF paths in GAN latent space (ICCV 2021)

Stock-history-display - something like a easy yearly review for your stock performance