deep-learning

Experiments with multimodal deep learning models based on transformers

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval

[ACMMM'24] MoBA: Mixture of Bi-directional Adapter for Multi-modal Sarcasm Detection

BobVLM – A 1.5B multimodal model built from scratch and pre-trained on a single P100 GPU capable of image descriptions and moderate question answering. 🤗🎉

Reward a Language Model with pancakes 🥞

Complete setup guide for a 2-node NVIDIA DGX Spark cluster — distributed training, CUDA inference with EXO, NCCL tuning for Grace Blackwell, NVMe-TCP shared storage, and 200 Gb/s direct fabric networking.

[WACV 2026] The official implementation of the paper titled " End-to-End Fine-Tuning of 3D Texture Generation using Differentiable Rewards" accepted to IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2026

Official implementation of the paper "Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models"

A deep learning project for detecting and classifying teeth as normal or cavity using YOLOv12m. The model is integrated into a web application for real-time dental screening. Designed to enhance early diagnosis accessibility, with future improvements planned for dataset expansion, annotation quality, and robustness to real-world conditions.

DistilBERT model with Sequence Classification on 9 newsgroup datasets for the Nepali language with 95.475% accuracy.

About Advanced AI-Generated Image Detection System using EfficientNetB7 with Custom Attention Mechanism. Developed for AICS 2025 (33rd Irish Conference on Artificial Intelligence and Cognitive Science). Detects deepfakes from GANs, Diffusion Models, and other generative AI.

⚡ Vectro: Lightning-fast embedding quantization. Hit 12M+ vec/s throughput (4.85× faster than FAISS C++) while drastically cutting memory footprint for vector databases and local AI research.

A curated collection of NLP and LLM resources. Covers essential papers and blogs on Transformers, Reinforcement Learning (RLHF, DPO, GRPO), Mechanistic Interpretability, Scaling Laws, and MLSys.

A style-aware deep learning model for adaptive cell instance segmentation by contrastive fine-tuning.

Deep learning models(CNN, LSTM, BERT) for image and text classification task with Tensorflow and Keras

An end-to-end tennis video analysis system leveraging Ultralytics YOLOv8 for player and ball detection, multi-object tracking across frames, and a custom CNN for court keypoint extraction, providing data-driven insights into player movement, ball trajectories, and match dynamics using advanced computer vision and deep learning techniques.

Fine-tuning a Large Language Model (LLM) for code vulnerability detection using QLoRA, a method that quantizes the model to 4-bit floats and incorporates adapters for fine-tuning.

This repo shows how to classify crack images and discuss the result with grad-cam