sreekiranar Goto Github PK
Name: Sreekiran A R
Type: User
Company: LatentView Analytics
Bio: Dreamer; Data Scientist; Writer Conquering challenges with passion and creativity :D
Location: London
Name: Sreekiran A R
Type: User
Company: LatentView Analytics
Bio: Dreamer; Data Scientist; Writer Conquering challenges with passion and creativity :D
Location: London
Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes
Computer Vision & Imaging Coursework notebook
This Repository contains a Jupyter notebook explaining how to detect checkboxes/table cells from a scanned image
A simple Perplexity AI clone.
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Python package which creates the filestructure, basic readme, setup.py with dependencies provided on your requirements file, code blocks with class and function templates with doc strings.
Deepchecks - Tests for Continuous Validation of ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.
DocBank: A Benchmark Dataset for Document Layout Analysis
DIAR software for synthetic document image and groundtruth generation, with various degradation models for data augmentation
DocEnTr: An end-to-end document image enhancement transformer
An easy way to extract information from documents
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
Deep learning operations reinvented (for pytorch, tensorflow, jax and others)
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
A PyPI package for fast word/character error rate (WER/CER) calculation
This repository contains an example notebook which helps in finding all the image files from a given folder using my library, TreeHandler, processing it using a simple sample algorithm, color to grayscale conversion and storing the output to the given output folder retaining the file structure.
Here is a simple DIY experiment with a UI that can input a large text and a query from the user to return the responses from multiple models passing only the relevant context. The large file text is embedded using Sentence Transformers. Then it uses the FAISS to select the top N-matched data, pass the relevant information to OpenAPI for quality O/P
Financial Sentiment Analysis with BERT
This is an implementation for the paper Enhance to Read Better: A Multi-Task Adversarial Network for Handwritten Document Image Enhancement designed to enhance the document quality before the recognition process. It could be used for document cleaning and binarization. The weights are available to test the enhancement.
ECCV 2020 paper
A simple UI that accepts prompt from the user, modifies the prompt and displays the relevant information from the top three google search links. This is a beginners project to experiment the power of OpenAI APis applied into google to get the best of both technologies.
Create UIs for prototyping your machine learning model in 3 minutes
Come join the movement to make the world's best open source GPT led by H2O.ai
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
⚡ Building applications with LLMs through composability ⚡
Jupyter Notebook that demonstrates LLM-driven voter file data engineering, using LangChain to write SQL and Python
A unified toolkit for Deep Learning Based Document Image Analysis
Automatic Generation of Visualizations and Infographics using Large Language Models
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.