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Name: Mahesh Jadhav
Type: User
Bio: I am an IIT-ISB Alumni with 13+ years of experience in BFS. Working as Data Scientist at Citi. Ex-BNY Mellon, Ex-Barclays
Location: PUNE
Name: Mahesh Jadhav
Type: User
Bio: I am an IIT-ISB Alumni with 13+ years of experience in BFS. Working as Data Scientist at Citi. Ex-BNY Mellon, Ex-Barclays
Location: PUNE
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A rule based system system for automatically generating Factoid question Answers based on "A rule based question generation framework to deal with simple and complex sentences" by Das et.al
Summarization Task using Bart and T5 models.
SQuAD Question Answering Using BERT, PyTorch
Use pretrained BERT model to automatically generate grammar multiple choice questions (MCQ) from any news article or story.
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Sentential Semantic Similarity measurement library using BERT Embeddings for spatial distance evaluation.
Vehicle Detection Project
Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.
Content Based Recommendation using Good read data
Data Mining- Unsupervised Learning -Clustering
Data Mining- Unsupervised Learning -Association Rules-market basket analysis
Build tensorflow keras model pipelines in a single line of code. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.
Tutorial to deploy Deep Learning Model to Production on AWS with Docker and Elastic Beanstalk
All the serverless code necessary to convert the audio of a Youtube video in one language to a different language using AWS
Generating boolean (yes/no) questions from any content using T5 text-to-text transformer model and BoolQ dataset
Generate Multiple choice Questions from any content or news article using BERT Extractive Summarization, Wordnet and Conceptnet
Generate True or False questions from any content with OpenAI GPT2 text generation, Sentence-BERT semantic search and Berkley constituency parser.
Build and train state-of-the-art natural language processing models using BERT
Hierarchical Attention Layer for Keras for document classification.
It contains tutorial of various MLOps algorithm. Will update it as soon as I learn something new. Happy Learning.
Question generation using state-of-the-art Natural Language Processing algorithms
This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.
Speech to Text with Hugging Face and Wav2vec 2.0
Basic text analysis, Topic mining, wordcloud and Cog creation,webscraping
NLP Classification of Tweets (Twitter Data)
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
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.