Posts by Collection

datasets

QnA Irrigation Diseases Dataset

This dataset contains a comprehensive Question & Answer collection focused on water management technologies, irrigation systems, and related agricultural practices for sustainable farming. The dataset is derived from technical documentation and research publications related to water management in ag
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QnA Plant Diseases Dataset

This dataset contains a comprehensive Question & Answer collection focused on plant diseases, their management, treatment protocols, and diagnostic techniques. The dataset provides detailed information about various plant pathologies, fungicide applications, and disease identification methods for ag
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QnA Soil Diseases Dataset

This dataset contains a comprehensive Question & Answer collection focused on soil management, soil health, organic farming practices, and soil-related agricultural techniques. The dataset is derived from technical guides and documentation related to sustainable soil management practices, with empha
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models

ViT

Published:

From scratch implementation of ViT Read more

GPT

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From scratch implementation of GPT Read more

BERT

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From scratch implementation of BERT Read more

SigLip

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From scratch implementation of SigLip Read more

WGANs

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From scratch implementation of WGANs Read more

ORPO

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From scratch implementation of ORPO Read more

GRU

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From scratch implementation of GRU Read more

RNNs

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From scratch implementation of RNNs Read more

TTS

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From scratch implementation of TTS Read more

DPO

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From scratch implementation of DPO Read more

LoRA

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From scratch implementation of LoRA Read more

Gemma

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From scratch implementation of Gemma Read more

Llama

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From scratch implementation of Llama Read more

CLiP

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From scratch implementation of CLiP Read more

DDP

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From scratch implementation of DDP Read more

Llava

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From scratch implementation of Llava Read more

LSTM

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From scratch implementation of lstm Read more

VAE

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From scratch implementation of VAE Read more

CGANs

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From scratch implementation of CGANs Read more

CLAP

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From scratch implementation of CLAP Read more

portfolio

publications

rl

A2C

Published:

Implementation of A2C reinforcement learning algorithm Read more

DDPG

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Implementation of DDPG reinforcement learning algorithm Read more

DQN Lunar

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Implementation of DQN-Lunar reinforcement learning algorithm Read more

DQN Taxi

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Implementation of DQN-Taxi reinforcement learning algorithm Read more

DQN Atari

Published:

Implementation of DQN-atari reinforcement learning algorithm Read more

DQN

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Implementation of DQN reinforcement learning algorithm Read more

Duel DQN

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Implementation of Duel-DQN reinforcement learning algorithm Read more

MARL

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Implementation of MARL reinforcement learning algorithm Read more

PPO

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Implementation of PPO reinforcement learning algorithm Read more

Q Learning

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Implementation of Q-Learning reinforcement learning algorithm Read more

REINFORCE

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Implementation of REINFORCE reinforcement learning algorithm Read more

RND

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Implementation of RND reinforcement learning algorithm Read more

Sac

Published:

Implementation of SAC reinforcement learning algorithm Read more

TD3

Published:

Implementation of TD3 reinforcement learning algorithm Read more

Vizdoom Rl

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Implementation of VizDoom-RL reinforcement learning algorithm Read more

smolhub

Smol Mixtral

Published:

A PyTorch implementation of a Mixtral inspired transformer model with Mixture of Experts (MoE), designed for text generation and understanding tasks. This model is built on the Mixtral architecture wi… 🎮
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Smol Transformer

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A compact implementation of an Encoder-Decoder Transformer for sequence-to-sequence translation tasks. This project implements a translation model from English to Hindi using the Samanantar dataset. 🎮
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Story Kimi

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A PyTorch implementation of a DeepSeek V3 inspired transformer model with Mixture of Experts (MoE), Latent Attention, and other advanced features. 🎮
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Story Llama

Published:

So, I trained a Llama a 88M architecture I coded from ground up to build a small instruct model, going through the below-mentioned stages from scratch. 🎮
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Story Mixtral

Published:

A PyTorch implementation of a Mixtral inspired transformer model with Mixture of Experts (MoE), Flash Attention, and other advanced features. 🎮
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Smol Llama

Published:

So, I trained a Llama a 130M architecture I coded from ground up to build a small instruct model, going through the below-mentioned stages from scratch. 🎮
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talks

Movies Review System Spoiler-Free Sentiment-Analysis based Movies Review System)

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Introducing the Movie Review System, where AI meets movie magic to revolutionize how viewers experience films. This project goal is to provide an interface for spoiler-free reviews and sentiment analysis, enhancing the viewing journey. With advanced models like Voting Classifier and Bi-LSTMs powered by Keras and TensorFlow, we achieve impressive metrics—a 91% accuracy, 91% precision, and 90% recall that understands and enhances the users’ with the respective movies’ plot from a bird’s eye view. Read more

MoviesMania (Geek-o-thon) A Reverse Search based Movies Recommendation System

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Step into the future of entertainment discovery with MoviesMania. The rpoduct aims to simplify your search for the perfect movie or web series. Using various AI/ML techniques and elements, we analyze uploaded video clips to predict movie titles and recommend similar content with an impressive accuracy. Experience flavoured recommendations tailored to your tastes, powered by Keras, Flask, and advanced face recognition algorithms with a full-fledged movie recommendation system. Read more

PlogPayouts AI-driven Plogging System

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Transform your daily jog into a mission for a cleaner world with PlogPayouts. Our innovative website + app rewards you for collecting litter, promoting fitness and environmental cleanliness. Utilizing AI for trash categorization and optimized routes, and fostering community through shared stories, PlogPayouts turns every step into a step towards a greener, more inclusive society. Join us and make a difference today! Read more

Insight-Ed (HackNITR 5.0) EdTech Platform for Student and Teacher

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Imagine an online classroom where teachers instantly know when and why students lose focus. Our AI-powered solution bridges the knowledge gap by detecting student emotions and attentiveness, highlighting problem areas, makes the teacher aware of each student’s progress. With features like reverse video search, dynamic questionnaires, and advanced Q&A bots, we transform the learning experience, making it more interactive and insightful. Redefining online education with our model, ensuring every student gets the attention they need, right when they need it. Read more

FarmGenie (GeoHack 2024) Empowering farmers with real-time insights and expert guidance via AI-driven space

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Our platform utilizes LLMs and a Mixture of Expert (MoE) approaches to provide precise guidance on soil management, plant disease identification, and irrigation techniques. Built as a scalable web application with a Next.js frontend and backend, and supported by a Redis queue and multiple worker nodes, FarmGenie ensures robust performance. The system’s multilingual support, interactive community forum, and up-to-date knowledge base facilitate seamless, expert-driven assistance for both new and experienced farmers. Read more

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

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Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.

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