huggingface

Genie in the Box: Distill Whisper STT => Mistral-7B => Phind/Phind-CodeLlama-34B-v2 => GPT 3.5 => Coqui's TTS/OpenAI TTS

Model-independent sketch-to-image studies: seed scouting, controlled variation, replayable manifests, and a zero-download local tour.

Train and fine-tune diffusion models. Perform image-to-image class transfer experiments.

Fine-tuning a quantized Llama 2 chat model on Q&A pairs from counselchat.com to provide empathetic and appropriate mental health advice

A composite GitHub Action to login to the HuggingFace Hub

huggingface.co/chat api. Fixed stream response & web search.

Text Summarization using Transformer on GPU Docker Deployment

multilingual RAG

Hugging Face Model downloader and GGUF Converter.

AI text humanization tool with detection capabilities. Transform AI-generated content into natural, human-like writing using advanced NLP models (T5, BART, Pegasus). Features real-time AI detection, multi-model paraphrasing, and a modern Svelte frontend.

PyFrame splits GIFs into equal time windows and picks the frame with the highest motion delta from each one. This way you get good scene coverage and catch peak frames without sending every frame to AWS Rekognition cuts costs by ~93% with minimal accuracy loss.

An offline CPU-first low-resource chat application to perform RAG on your corpus of data. Powered by OpenChat and CTranslate2.

Sentiment Analysis of Yelp Review Dataset using Hugging Face pre-trained BERT with fine-tuning

A LLaMA2-7b chatbot with memory running on CPU, and optimized using smooth quantization, 4-bit quantization or Intel® Extension For PyTorch with bfloat16.

Microsoft Phi 2 Streamlit App, deployed on HuggingFace Spaces is based on the Microsoft Phi 2 small language model (SLM) for text generation.

Command Line AI Assistant using HuggingFace Inference API

AI model for making mazes that extends OpenAIs GPT2 model

Text to emoji translation via DeepDreaming

Dockerized FastAPI wrapper for OmniVoice — zero-shot TTS for 600+ languages with voice cloning, voice design, and OpenAI-compatible API. GPU & CPU support.

Code Repository for the IndicXNLI paper.