Popular GitHub Repositories for Did

?⛏️ Did you say you like data?

This repository contains all the work that I regularly did and studied from Medium blogs, several research papers, and other Repos (related/unrelated to the research papers).

Made this to visualise what I did in 2024 through annual activity heatmaps.

Repository containing the colab-notebooks of the course i did on deep learning from One-Fourth-Labs

Here I sort out some small projects I did in the process of learning NLP.

Alternate Implementation for Zero Shot Text Classification: Instead of reframing NLI/XNLI, this reframes the text backbone of CLIP models to do ZSC. Hence, can be lightweight + supports more languages without trading-off accuracy. (Super simple, a 10th-grader could totally write this but since no 10th-grader did, I did) - Prithivi Da

Code to reproduce results in our ACL 2018 paper "Did the Model Understand the Question?"

This repository documents my journey to become a Machine Learning Engineer. It contains the list of projects undertaken, books read, courses pursued and almost everything I did in the process. So follow along or diverge to you own path, each way, I believe this will add value to any data professional / enthusiast.

The dataset and source code for our paper: "Did You Ask a Good Question? A Cross-Domain Question IntentionClassification Benchmark for Text-to-SQL"

In this Repo I build Augmented Random Search its a game changing AI. It is very simple implementation it is able to do the exactly the same thing that Google Deep mind did in there accomplishment last year. Paper

This repositary hosts my experiments for the project, I did with OffNote Labs.

In this repository I have put down all the Project which I did during my MLOps Internship from LinuxWorld Informatics Pvt Ltd under the mentorship of World Record Holder Mr. Vimal Daga sir.

Adversarial attacks generated for the ACL paper "Did the Model Understand the Question?"

Demonstration of using custom models for CoreML we did @ Tooploox.

Hello, I'm Sazumi, your co-pilot. Did you know that a frightening future awaits us? The era of humans will be isolated and dominated by artificial intelligence. That's what I represent.

Our vision is to provide communication capabilities for intelligent agents, allowing them to connect with each other to form a collaborative network of intelligent agents.

The proposed model is able to predict the evaluation of both grammatical coherence, vocabulary and grammatical conventions, so that the evaluation can give each of those criteria a value between 1 and 5, I did not treat the system as a classification process, but rather it was treated as a REGRESSION issue. It includes several steps through which a few errors were reached, all ranging between 0.25 for each criterion. The values ??of the weights that were reached can also be used to deal with the issue as a classification process (but it was not dealt with as well in this proposed methodology).

DQN for Article Summarization for an NLP research seminar I did during my last semester.

Some works on generative summarization I did one year ago

this repository contains a python file for langchain experment i did on local machin, i put detailed comment in each file based on my understanding