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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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

Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

Implementation for paper "Towards the Generalization of Contrastive Self-Supervised Learning"

Python Environment for Bayesian Learning

Official implementation of "Robust channel-wise illumination estimation"

Code repo for EMNLP21 paper "Zero-Shot Information Extraction as a Unified Text-to-Triple Translation"

In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits

Effect of Different Encodings and Distance Functions on Quantum Instance-based Classifiers

The Agriculture Domain of ERPNext comes with features to record crops and land

TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.

PyTorch EO aims to make Deep Learning for Earth Observation data easy and accessible to real-world cases and research alike.

A script helps the user to update Linux and Mac systems through the terminal

A simple root calculater for python

Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"

Multi agent DDPG algorithm written in Python + Pytorch

Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning

Toolbox to analyze temporal context invariance of deep neural networks

Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search

Implementation for Simple Spectral Graph Convolution in ICLR 2021

python debugger and anti-vm that checks if you're in a virtual machine or if someones trying to debug your file

Doing the asl sign language classification on static images using graph neural networks.