🚀 Build and enhance machine learning systems with practical tools and insights from a Senior Deep Learning Engineer and Researcher.

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

🌟 Implement Dreamer 4 for training agents within scalable world models, advancing the frontier of AI research and applications.

🧠 Generate and classify text in Spanish using deep learning techniques, enhancing your understanding of natural language processing applications.

🤖 Explore LocoFormer, a Transformer-XL model that enhances robot locomotion through long-context learning and real-world adaptability.

🔍 Fetch and analyze news from multiple sources with this powerful parser, offering insights through advanced content analysis and a modern web interface.

🔍 Visualize attention patterns in transformer models to better understand how LLMs process text inputs with interactive heatmaps and comparisons.

An open repository providing a comprehensive taxonomy of AI algorithms, designed to categorize, document, and analyze techniques across the spectrum of artificial intelligence.

🌟 Pretrain domain-specific models using visual instructions to enhance accuracy and performance in specialized tasks with ViTP.

🤖 Explore deep learning architectures like ANN, CNN, RNN, and LSTM to enhance your understanding of machine learning and neural networks.

🌐 Translate English text to Hindi quickly using Python. Easily integrate and deploy with a simple API for seamless translation.

🖥️ Explore GPT-2 text generation with PyGPT2, a user-friendly Python app offering local model access, device selection, and prompt management.

🐱 Build a simple Retrieval-Augmented Generation system with embeddings, vector search, and optional reranking using Ollama and HNSWVectorDB.

📂 Extract, embed, cluster, and securely store Korean text from documents using BERT, enhancing research efficiency and organization.

💥 Optimize linear attention models with efficient Triton-based implementations in PyTorch, compatible across NVIDIA, AMD, and Intel platforms.

🎵 Classify music genres by analyzing spectrogram images with machine learning and deep learning methods for robust and interpretable predictions.

🔍 Conduct in-depth AI research with FastAPI, leveraging OpenAI models for idea validation, market analysis, and financial assessments.

🤖 Build an efficient customer support chatbot with zero-shot intent classification and modular skill handlers using FastAPI and Java.

⚙️ Build a modern Vim/Neovim experience in Rust, focusing on performance, Unicode support, and an open framework for collaboration and growth.