Docker Build - Dockerizing a Python App with FastAPI
Learn to containerize a Python FastAPI web application using Docker, enhancing deployment efficiency and scalability for modern web development.
OpenGL and Python on Computer and Embed Device Part 2
Explore advanced OpenGL techniques with Python, focusing on implementation for embedded devices and desktop computers.
Hyperparameter Optimization for Reinforcement Learning Using Meta's Ax
Learn to optimize hyperparameters for reinforcement learning using Meta's Ax framework. Explore grid search, random search, and Bayesian optimization techniques to improve machine learning model performance.
Poisoned Pickles - Security Risks and Protections for Serialized ML Models
Explore the security risks of using pickle for ML model serialization and learn strategies to protect against poisoned pickles in data science pipelines.
ChatGPT 3.5 Turbo Fine-Tuning Tutorial - Specific Tasks with Synthetic Data
Step-by-step guide to fine-tuning ChatGPT 3.5 Turbo for specific tasks using synthetic data, covering when and why to fine-tune, data creation, dataset cleaning, and model testing.
GPT-4 Turbo Documentation Converter to JSON Format
Convert documentation into easily chunkable JSON format using GPT-4 Turbo, enhancing retrieval accuracy. Explore basic to advanced implementations and iteratively improve generated documentation for better searchability.
Cloud-Native MLOps Platform for Python and ML Engineers
Discover how Jina MLOps platform simplifies building and deploying AI applications in Python to the cloud, enabling engineers to focus on logic while handling infrastructure complexity.
Effortless Profiling on Kubernetes
Discover best practices and tools for profiling Java, Go, Python, and Ruby applications on Kubernetes, addressing performance issues efficiently without redeployment.
Streaming for LangChain Agents and FastAPI
Learn to implement streaming for LangChain Agents and serve it through FastAPI, covering basics to advanced techniques for efficient LLM integration and deployment.
Modular Quantum Signal Processing With Gadgets - IPAM at UCLA
Explore modular quantum signal processing with gadgets, unifying quantum algorithms and enabling efficient block encoding of multivariable functions for advanced quantum programming.
Data Access Monitoring Operator (DAMO) - User-Space Tool for Access-Aware Profiling and Optimization in Linux
Explore DAMON for efficient data access monitoring and optimization in Linux systems. Learn to use DAMO for profiling, tuning, and developing custom tools using Python.
Alternative Introduction to Quantum Computers
Explore quantum computing from a programmer's perspective, covering essentials, Qiskit examples, and real hardware use on AWS Braket. Gain insights into quantum power and limitations.
PyKubeSlurm - A Python Operator for Efficient Job Scheduling in Slurm Using Kubernetes
Explore PyKubeSlurm, a Python package simplifying job scheduling in Kubernetes using Slurm. Learn how this operator streamlines workflow management for engineers and improves efficiency.
Complete Natural Language Processing Machine Learning Tutorial
Comprehensive NLP tutorial covering tokenization, preprocessing, encoding, and word embeddings. Practical implementations and in-depth explanations for beginners and intermediate learners.
TinyRL: Teaching AI to Swing Up a Real Pendulum
Explore reinforcement learning to train an AI agent to swing up a real pendulum using Arduino, Python frameworks, and ESP32 deployment, with practical demonstrations and troubleshooting tips.
Docker and Nix - Integrating Package Ecosystems for Consistent Environments
Explore integrating Nix package ecosystem with Docker, comparing it to Debian and Alpine. Learn to synchronize development, CI, and production environments using sample applications in various programming languages.
Scripting Languages in IoT: Challenges and Approaches - Lecture
Explore challenges and approaches of using scripting languages in IoT development, comparing MicroPython and JerryScript projects for resource-constrained devices.
OpenFL: A Federated Learning Framework for Secure Collaborative Model Training
Explore OpenFL, a Python framework for federated learning that enables collaborative model training without sharing sensitive data. Learn its features, applications, and security benefits.
Data Collector Model in Agent-Based Modeling with Mesa - Session 18
Learn to implement a Data Collector Model in Mesa, enhancing your agent-based modeling skills with Python and improving data analysis capabilities.
Initialize Traders in Agent-Based Models with Python - Session 7
Learn to initialize traders in agent-based models using Mesa, a Python library for complex systems simulation and analysis.
Barbican - Protecting Secrets at Scale for Cloud Infrastructure
Explore Barbican, an open-source key management solution for secure, scalable infrastructure. Learn its architecture, usage as internal/cloud service, and see a proof-of-concept demo.