Shreyas Moolya (smoolya17)

smoolya17

Geek Repo

Company:NeoQuant Solutions

Location:Mumbai

Home Page:https://github.com/settings/profile?focus_bio=1

Twitter:@shreyasmoolya

Github PK Tool:Github PK Tool

Shreyas Moolya's repositories

attention-ocr

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

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bamboolib

bamboolib - a UI for pandas dataframes. Stop googling pandas commands

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caffe

Caffe: a fast open framework for deep learning.

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Chrome-GPT

An AutoGPT agent that controls Chrome on your desktop

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first

My first git project

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Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

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every-programmer-should-know

A collection of (mostly) technical things every software developer should know

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Fraud-Analysis

Insurance fraud claims analysis project

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genai-stack

Langchain + Docker + Neo4j

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labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

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leptonai

A Pythonic framework to simplify AI service building

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linux-vm-tools

Hyper-V Linux Guest VM Enhancements

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opencv_contrib

Repository for OpenCV's extra modules

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pandas-profiling

Create HTML profiling reports from pandas DataFrame objects

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pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

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pytorch-yolo-v3-custom

A PyTorch implementation of the YOLO v3 object detection algorithm for training on custom data with video demo.

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redmine_backlogs

A Redmine plugin for agile teams

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redmine_charts2

Plugin which integrates with Redmine 2.0.3 and 2.1.x following charts: burndown, timeline, ratios of logged hours and issues, deviations of logged hours.

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redmine_git_hosting

A Redmine plugin which makes configuring your own Git hosting easy ;)

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scikit-learn-tips

:robot::zap: Daily scikit-learn tips

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trains-agent

TRAINS Agent - Auto-Magical DevOps for Deep Learning

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Twitter-Sentiment-Analysis

It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization

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