Pinned Repositories
awesome-ai-applications
A Comprehensive survey on business use cases of AI that help them thrive in the digital economy
bio-medical-clinical-ner
Collection of bio-medical and clinical ner models in spacy, stanza, flair with some utility files
Blog_References
Code and content references for TechnovativeThinker blog posts
ComputerVision
Computer Vision Algorithms and APIs
feature-matching-opencv-python
Image key points Extraction, Description, Feature Matching
image-captioning-model
Image Caption Generator with Streamlit UI
stock-market-analyzer-python
Package to Analyze stock market sentiment, news and stocks swot analysis
Tensorflow_Data_And_Deployment_Solutions
This Repository contains solution for all assignment problems from tensorflow data and deployment specialization
Text_Classification_Deep_Learning_Pytorch
This repository consists of various deep learning based text classification models. It's more of a plug and play type. Designed in a way that you can customise these projects with little or no efforts on custom datasets.
magesh-technovator's Repositories
magesh-technovator/feature-matching-opencv-python
Image key points Extraction, Description, Feature Matching
magesh-technovator/Blog_References
Code and content references for TechnovativeThinker blog posts
magesh-technovator/awesome-ai-applications
A Comprehensive survey on business use cases of AI that help them thrive in the digital economy
magesh-technovator/bio-medical-clinical-ner
Collection of bio-medical and clinical ner models in spacy, stanza, flair with some utility files
magesh-technovator/stock-market-analyzer-python
Package to Analyze stock market sentiment, news and stocks swot analysis
magesh-technovator/Text_Classification_Deep_Learning_Pytorch
This repository consists of various deep learning based text classification models. It's more of a plug and play type. Designed in a way that you can customise these projects with little or no efforts on custom datasets.
magesh-technovator/ComputerVision
Computer Vision Algorithms and APIs
magesh-technovator/Tensorflow_Data_And_Deployment_Solutions
This Repository contains solution for all assignment problems from tensorflow data and deployment specialization
magesh-technovator/image-captioning-model
Image Caption Generator with Streamlit UI
magesh-technovator/clean-code-python
:bathtub: Clean Code concepts adapted for Python
magesh-technovator/content-downloader
Python package to download files on any topic in bulk.
magesh-technovator/data-science-py
Data Science Projects with python
magesh-technovator/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
magesh-technovator/detr
End-to-End Object Detection with Transformers
magesh-technovator/DocTr
The official code for “DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction”, ACM MM, Oral Paper, 2021.
magesh-technovator/docvqa
Document Visual Question Answering
magesh-technovator/github-markdown-css
The minimal amount of CSS to replicate the GitHub Markdown style
magesh-technovator/KaggleProjects
Code for Kaggle Competitions / Datasets.
magesh-technovator/keras-tuner
Hyperparameter tuning for humans
magesh-technovator/layout-parser
A Python Library for Document Layout Understanding
magesh-technovator/magesh-technovator
magesh-technovator/Oscar
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
magesh-technovator/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
magesh-technovator/PubLayNet
MaskRCNN on PubLayNet datasets. Paragraph detection, table detection, figure detection,...
magesh-technovator/PythonTools
Python Tools to automate boring stuffs
magesh-technovator/Real-time-ML-Project
A curated list of applied machine learning and data science notebooks and libraries across different industries.
magesh-technovator/serverless-transformers-on-aws-lambda
Deploy transformers serverless on AWS Lambda
magesh-technovator/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
magesh-technovator/unilm
UniLM - Unified Language Model Pre-training / Pre-training for NLP and Beyond
magesh-technovator/WebApp-Computer-Vision-streamlit
Website