Backend for MindPeers ML (NLP) models such as Sentiment Analysis & Keyword Extraction (including Feedback Loops)

This is the avishkaarak-ekta-hindi model, fine-tuned using the SQuAD2.0 dataset. It's been trained on question-answer pairs, including unanswerable questions, for the task of Question Answering.

Fine Tuning text classification NLP models from huggingface with Covid-19 tweet data to build a model that classifies text based on Covid-19 sentiment

AI Image Generator using free api

Project: JS application to summarize given textbody

HFLoader - HuggingFace Model Loader

⚙️ Fine-Tune 🦙 Llama 3.1, Phi-3.. Models on custom DataSet using 🕴️ unsloth & Saving to HuggingFace Hub

Multithreaded model downloader for HuggingFace

NER Training on BERT model using Transformers on medical data, continual learning over 3 datasets; Notebooks and Scripts

Django Web Application for inventory and invoice management.

Building Stateful Multi AI Agents & Enhancing LLM Agents

Backend for MindPeers ML (NLP) models such as Sentiment Analysis & Keyword Extraction (including Feedback Loops)

Pexscape is an app that lets you browse and set curated real-time photos as your wallpaper. You can also generate wallpapers uniquely for your self using simple and creative Prompts

Automate metadata extraction for Parquet & ORC datasets (schema, outliers, contextual, skewness, semanto) with this toolkit. Compatible with Google Gemma and Meta Llama frameworks.

A web application that extracts, processes, and intelligently interacts with PDF content. Using natural language processing and vector embeddings, it transforms PDF text into high-dimensional vectors for efficient and accurate querying.

Creating a versatile, AI-powered ChatBot using ChatGPT for engaging and efficient customer interactions. Prioritizing real-time responses, personalization, and seamless integration with existing systems. Enhancing customer satisfaction through timely and accurate query handling.

A simple scraper for tensor.art.. it will help u to generate images

Image-text upload interface to utilise RAG for pill identification

A production-ready RAG (Retrieval Augmented Generation) system built with FastAPI, LangChain, LangServe, LangSmith, Hugging Face, and Qdrant for document processing and intelligent querying.