Jarvis Project is a basic virtual assistant that uses TensorFlow for learning.

Last update: Aug 31, 2022

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Deep Learning Jarvis_proyect

Overview

Jarvis_proyect

Jarvis Project is a basic virtual assistant that uses TensorFlow for learning.

Latest version 0.1

Features:

Good morning protocol
Tell you the latest crypto information for (BTC, ETH, POLY)
Tell you the current time
Tell you current weather
Search whatever you would like to see
Tell you about his specifications
Tell you current datum
Telling quote
And basic chat ...

Version 0.2 is coming soon

some features will be:

Auto learning, by listening your conversation
New GUI interface
Faster
...

Images

Owner

Anze Kovac

My name is Anze. I am a third-year student in VEGOVA ljubljana. I am glad to share my knowledge whit, you guys.

GitHub Repository

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Code for the paper: Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization (https://arxiv.org/abs/2002.11798)

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Jarvis Project is a basic virtual assistant that uses TensorFlow for learning.

Related tags

Overview

Jarvis_proyect

Latest version 0.1

Version 0.2 is coming soon

Images

Owner

Anze Kovac

Pretrained models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet.

Effective Use of Transformer Networks for Entity Tracking

Implementation for the "Surface Reconstruction from 3D Line Segments" paper.

This repository is the code of the paper "Sparse Spatial Transformers for Few-Shot Learning".

Implementation of CVPR'2022:Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors

Official implementation for paper: A Latent Transformer for Disentangled Face Editing in Images and Videos.

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

An API-first distributed deployment system of deep learning models using timeseries data to analyze and predict systems behaviour

Task-based end-to-end model learning in stochastic optimization

A PaddlePaddle implementation of Time Interval Aware Self-Attentive Sequential Recommendation.

Elastic weight consolidation technique for incremental learning.

This is an official implementation for "PlaneRecNet".

RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds

Target Propagation via Regularized Inversion

Code for the paper: Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization (https://arxiv.org/abs/2002.11798)

DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

Unofficial Pytorch Lightning implementation of Contrastive Syn-to-Real Generalization (ICLR, 2021)

JupyterNotebook - C/C++, Javascript, HTML, LaTex, Shell scripts in Jupyter Notebook Also run them on remote computer

This repository contains numerical implementation for the paper Intertemporal Pricing under Reference Effects: Integrating Reference Effects and Consumer Heterogeneity.

Barbershop: GAN-based Image Compositing using Segmentation Masks (SIGGRAPH Asia 2021)