deep-learning

A comprehensive, professional guide explaining the differences, strengths, and best practices of Retrieval-Augmented Generation (RAG) and Fine-Tuning for LLMs, including workflows, comparisons, decision frameworks, and real-world hybrid AI use cases.

Empowering Data Driven insights through hands-on projects, SQL challenges and practical tools.

The Multimodal Sarcasm Detection System detects sarcasm in multimedia content using image-caption generation and NLP. It achieved 1st place in UITC2024 by classifying sarcasm into four categories: image, text, multi sarcasm, and not sarcasm.

A structured knowledge base for large language model technologies, covering LLMs, Agents, RAG, model training, evaluation methodologies, and AI engineering practices.

A curated list of the best AI resources, courses, tools, and repositories. Covering Generative AI (GenAI), LLMs, RAG, AI Agents, Prompt Engineering, and more. Your go-to cheat sheet for all things AI.

OCR system for handwritten medical prescriptions using Donut transformer and zero-shot classification

Application for playing Quickdraw powered by a Vision Transformer

MultiModal Sentiment Analysis (Text and Audio) (Pytorch)

The code repository for "MB2C: Multimodal Bidirectional Cycle Consistency for Learning Robust Visual Neural Representations" in PyTorch

Official Repository for NeurIPS'25 Paper "Tool-Augmented Spatiotemporal Reasoning for Streamlining Video Question Answering Task"

This repository reports how to build a speech to text model to recognize short commands. Best of all, developing and including speech recognition in a Python project using Keras is really simple.

The Ultimate Developer Experience Platform for the Container Era

Interview prep for LLM post-training, ML, system design, and coding — organized by career path.

🥉 Codalab-Microsoft-COCO-Image-Captioning-Challenge 3rd place solution(06.30.21)

Text simplification for a better world: Deep-Martin Transformer 🤗

Exploring NLP weak supervision approaches to train text classification models. The project is also a prototype for a semi-automated text data labelling platform. Approaches: Snorkel and Zero-Shot Learning.

Ejercicios para aprender a hacer NLP impulsado por las librerías de Hugging Face.

Flan-t5-base model was fine-tuned on Nvidia Question and Answer Pair Dataset available on Kaggle. This is a beginner level project who wants to step in to the world of Large Language Models.

AI orbit monitor — papers, models, benchmarks, company news in one dashboard. 40+ sources, LMArena leaderboard, local LLM summary.

Trained Neural Networks (LSTM, HybridCNN/LSTM, PyramidCNN, Transformers, etc.) & comparison for the task of Hate Speech Detection on the OLID Dataset (Tweets).