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

Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020

Accelerating Reinforcement Learning with Learned Skill Priors [Project Website] [Paper] Karl Pertsch1, Youngwoon Lee1, Joseph Lim1 1CLVR Lab, Universi

134 Dec 06, 2022

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

What is xLearn? xLearn is a high performance, easy-to-use, and scalable machine learning package that contains linear model (LR), factorization machin

3k Jan 03, 2023

Python based Advanced AI Assistant

Related tags

Overview

KnickAI

Requirements

Contributions

License

Owner

Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

Tightness-aware Evaluation Protocol for Scene Text Detection

[AAAI 2022] Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification

Efficient Sharpness-aware Minimization for Improved Training of Neural Networks

Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation (CoRL 2021)

Instance-level Image Retrieval using Reranking Transformers

A simple interface for editing natural photos with generative neural networks.

Pytorch implementation of "Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet"

C3D is a modified version of BVLC caffe to support 3D ConvNets.

PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.

Repo for parser tensorflow(.pb) and tflite(.tflite)

Pytorch implementation of SELF-ATTENTIVE VAD, ICASSP 2021

Fast and simple implementation of RL algorithms, designed to run fully on GPU.

[arXiv22] Disentangled Representation Learning for Text-Video Retrieval

Model Zoo for MindSpore

Computational inteligence project on faces in the wild dataset

“英特尔创新大师杯”深度学习挑战赛赛道3：CCKS2021中文NLP地址相关性任务

A custom-designed Spider Robot trained to walk using Deep RL in a PyBullet Simulation

Parallel Latent Tree-Induction for Faster Sequence Encoding

Python based Advanced AI Assistant

Related tags

Overview

KnickAI

Requirements

Contributions

License

Owner

Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

Tightness-aware Evaluation Protocol for Scene Text Detection

[AAAI 2022] Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification

Efficient Sharpness-aware Minimization for Improved Training of Neural Networks

Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation (CoRL 2021)

Instance-level Image Retrieval using Reranking Transformers

A simple interface for editing natural photos with generative neural networks.

Pytorch implementation of "Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet"

C3D is a modified version of BVLC caffe to support 3D ConvNets.

PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.

Repo for parser tensorflow(.pb) and tflite(.tflite)

Pytorch implementation of SELF-ATTENTIVE VAD, ICASSP 2021

Fast and simple implementation of RL algorithms, designed to run fully on GPU.

[arXiv22] Disentangled Representation Learning for Text-Video Retrieval

Model Zoo for MindSpore

Computational inteligence project on faces in the wild dataset

“英特尔创新大师杯”深度学习挑战赛 赛道3：CCKS2021中文NLP地址相关性任务

A custom-designed Spider Robot trained to walk using Deep RL in a PyBullet Simulation

Parallel Latent Tree-Induction for Faster Sequence Encoding

“英特尔创新大师杯”深度学习挑战赛赛道3：CCKS2021中文NLP地址相关性任务