NoCodeAIML

No Code AI/ML platform - Community Edition

Video credits: Uday Kiran

Typical No Code AI/ML Platform will have features like drag and drop, data source connectivity, social media analysis, analytics, and content analysis.No code AI/ML platform can be built using python and streamlit, which helps in images analysis. The analytical data in the no-code AI/ML platform is imported, validated, cleansed, trained, and testing of the model. New scenarios come in due to unseen data and the model is refined for predictive analytics.

Planning to add more features, please contribute.

check out my article on AI4 blog No Code AI/ML Platform

Use Cases

1.analyze text messages
2.classify shipping documents
3.categorize social media pictures
4.categorize Instagram pictures
5.check onboarding documents
6.categorize startups by description
7.filter startup databases for investment decisions
8.categorizing emails
9.tracking keyword engagement
10.social listening
11.categorizing app crash reports using NLP
12.moderate user-generated content
13.insurance claims identification
14.quality inspection
15.auto-tagging real estate images,
16.tagging email attachments
17.categorizing support tickets
18.analyze text responses of surveys
19.track social sentiments
20.categorizing SMS responses
21.recognize shipping documents

Features

1.Data Visualization
2.Data Analysis
3.Machine Learning Algorithms
4.Image Analysis
5.NLP & NLU
6.WebRTC API
7.Drawing API
8.Grids for tables

Instructions for setting up locally - webapp

Ensure that python3 and streamlit

2.git clone this repository

git clone https://github.com/bhagvank/NoCodeAIML.git

Install the required packages

pip3 install -r requirements.txt

Run streamlit

streamlit run main.py

No Code AI/ML platform

Related tags

Overview

NoCodeAIML

Use Cases

Features

Instructions for setting up locally - webapp

Owner

Bhagvan Kommadi

code for "Feature Importance-aware Transferable Adversarial Attacks"

The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.

Prototype for Baby Action Detection and Classification

Code for "Typilus: Neural Type Hints" PLDI 2020

B-cos Networks: Attention is All we Need for Interpretability

Pathdreamer: A World Model for Indoor Navigation

Code release for Convolutional Two-Stream Network Fusion for Video Action Recognition

Boundary IoU API (Beta version)

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

Little tool in python to watch anime from the terminal (the better way to watch anime)

Automatically measure the facial Width-To-Height ratio and get facial analysis results provided by Microsoft Azure

For holding anime-related object classification and detection models

Official repository with code and data accompanying the NAACL 2021 paper "Hurdles to Progress in Long-form Question Answering" (https://arxiv.org/abs/2103.06332).

PyTorch implementation for "Mining Latent Structures with Contrastive Modality Fusion for Multimedia Recommendation"

Code for "ATISS: Autoregressive Transformers for Indoor Scene Synthesis", NeurIPS 2021

Original Pytorch Implementation of FLAME: Facial Landmark Heatmap Activated Multimodal Gaze Estimation

LSSY量化交易系统

LoL Runes Recommender With Python

WORD: Revisiting Organs Segmentation in the Whole Abdominal Region

MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space