The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

Machine Learning Q and AI book

Build resilient language agents as graphs.

Chat with any website using FastAPI, Next.js, and the latest LangChain version for seamless integration.

Code for Stanford CS224u

🤗 AutoTrain Advanced

API using ECHO framework in GO. Includes a small test.

gRPC Go Master Class: Build Modern API & Micro services

A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

🦜🔗 Build context-aware reasoning applications

LangChain & LangGraph AI PDF chatbot agent

Slides and notebook for the workshop on building a search system

Simple web app example serving a PyTorch model using streamlit and FastAPI

Renewcast: Forecasting Renewable Electricity Generation in EU Countries.

Automated Time Series Forecasting

Code examples for my Write Better Python Code series on YouTube.

scikit-learn-inspired time series

List of papers, code and experiments using deep learning for time series forecasting

Pytest for Data Science Beginners

Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

A resource for learning about Machine learning & Deep Learning

Repository containing notebooks of my posts on Medium

Generative Adversarial Networks in TensorFlow 2.0

A unified framework for machine learning with time series