A Python-based REST API for PDF OCR using AI models with PyTorch and Transformers that runs in a Docker container.
"Open Source Models with Hugging Face" course empowers you with the skills to leverage open-source models from the Hugging Face Hub for various tasks in NLP, audio, image, and multimodal domains.
llm-newsletter-generator transforms a valid RSS feed into a "Newsletter" using AI models via PyTorch and Transformers; this is experimental.
Examples of Ai models from Scikit-learn
A real-time voice-to-text and text-to-speech AI pipeline using Whisper, an LLM, and Edge-TTS with tunable parameters for low-latency audio processing and response generation.
A web-based utility for fetching, categorizing, summarizing and managing global news and articles using the GDELT 2.0 API. Designed for content creators, news aggregators, and researchers, this tool simplifies access to up-to-date articles with an intuitive UI and customizable configurations.
Successfully developed a fine-tuned BERT transformer model which can accurately classify symptoms to their corresponding diseases upto an accuracy of 89%.
Spam Detector is a Data Science Project built using Pytorch and Hugging Face library. Used BERT model based on Transformer Architecture and got 99.97% accuracy on train set and 98.76% accuracy on test set.
Successfully developed a fine-tuned DistilBERT transformer model which can accurately predict the overall sentiment of a piece of financial news up to an accuracy of nearly 81.5%.
This project contains codes and paperwork based on the course CSI5386 at University of Ottawa (delivered by Professor Dr. Diana Inkpen).
A robust pipeline for fine-tuning language models using advanced techniques like LoRA (Low-Rank Adaptation), QLoRA (Quantized LoRA), and custom tokenization.
Build a sentiment analysis tool that processes user reviews from various platforms (like Amazon or Yelp) and provides insights on sentiment trends over time. Use advanced NLP techniques like Transformers (BERT, GPT).
Explore and implement Hugging Face Transformers and Pipelines for leveraging powerful pretrained AI models in NLP and more.
This repository contains application which performs YouTube video transcription, translation, summarization and also provides Q&A chatbot.
With the use of AI, summarise your movies and bring back the colour in older films.
An interactive, privacy-first application for querying the European Union’s AI Act using a local Retrieval-Augmented Generation (RAG) pipeline. Combines semantic search (FAISS) and a quantized TinyLlama LLM for fast, accurate, and context-aware answers—all running on your own hardware.
A Python-based intelligent chatbot built with Gradio UI and SmolAgents, capable of answering user queries using agentic reasoning, retrieval-augmented generation (RAG), and tool integrations.
The Ultimate Hugging Face Guide: From Beginner to Pro
A multi-modal mobile application that provides personalised outfit recommendations from user's wardrobe based on user's style and location trend and weather.
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