How to Make Pixel Perfect Art with AI - Stable Diffusion Tutorial 2022
Learn to create pixel-perfect art using AI with Stable Diffusion. Covers techniques for buildings, people, textures, and items in popular game styles like Pokémon and Animal Crossing.
How to Make Epic Movie and Game Titles with AI - Stable Diffusion Tutorial 2023
Learn to create stunning movie and game titles using AI with Stable Diffusion. Master depth-to-image techniques for epic, cinematic results in this easy-to-follow tutorial.
Building Enterprise-Grade Q&A Chatbots with Azure OpenAI's Advanced Capabilities
Explore Azure OpenAI's advanced capabilities for building enterprise-grade Q&A chatbots. Learn fine-tuning techniques to enhance natural language processing and improve customer support at scale.
Deep Generative Modeling
Explore deep generative modeling, including autoencoders, VAEs, GANs, and diffusion models. Learn about latent variables, training techniques, and recent advances in generative AI.
Topology of Surprisal - Information Theory and Vietoris-Rips Filtrations
Explore the fusion of information theory and Vietoris-Rips filtrations, focusing on Kullback-Leibler divergence and its applications in deep learning, with insights on overcoming non-symmetry challenges.
Diffrax - Numerical Differential Equation Solvers in JAX
Explore numerical differential equation solvers in JAX with Diffrax, covering implementation, features, and applications in machine learning and dynamical systems.
JAX- Accelerated Machine Learning Research via Composable Function Transformations in Python
Explore accelerated machine learning research using JAX, a Python library for composable function transformations, enhancing ML model development and experimentation.
Introduction to Deep Learning with Applications to Stochastic Control and Games
Explore deep learning applications in stochastic control and games, focusing on key concepts and practical implementations for quantitative finance professionals.
Arbitrage-Free Yield Curve and Bond Price Forecasting by Deep Neural Networks
Explore deep neural networks for arbitrage-free yield curve and bond price forecasting, enhancing quantitative finance strategies and market predictions.
Train a PyTorch Neural Network Step-by-Step - PyTorch Deep Learning
Learn to build and train a PyTorch neural network for image classification, achieving 85% accuracy on Fashion MNIST. Covers data preparation, network architecture, loss functions, optimization, and model visualization.
PyTorch Datasets, DataLoaders and Transforms - GPU Series Part 3
Explore PyTorch's data handling tools: Datasets, DataLoaders, and Transforms. Learn to prepare, visualize, and optimize data for GPU-accelerated deep learning using Fashion-MNIST dataset.
Introduction to Tensors - PyTorch with GPU Series Part 2
Explore tensor initialization, GPU usage, operations, memory sharing, and profiling in PyTorch for efficient deep learning model development.
Monitoring ML Models - Full Stack Deep Learning - Spring 2021
Learn techniques for monitoring ML models in production, including detecting data drift, measuring changes, and using tools to maintain model health and performance over time.
ML Testing & Explainability - Full Stack Deep Learning - Spring 2021
Explore ML testing and explainability techniques to enhance model performance, build confidence, and understand limitations. Learn software testing practices, CI/CD, and interpretable AI approaches.
Ethics - Full Stack Deep Learning - Spring 2021
Explore AI ethics, covering long-term challenges, hiring practices, fairness, representation, and best practices. Gain insights into crucial ethical considerations for AI development and implementation.
Data Management - Full Stack Deep Learning - Spring 2021
Explore ML infrastructure for data management: ingestion, storage, processing, exploration, labeling, and versioning. Learn about tools and best practices for effective dataset handling in deep learning projects.
Pieter Abbeel on Research Directions - Full Stack Deep Learning - November 2019
Explore cutting-edge deep learning methods with Professor Pieter Abbeel, covering few-shot learning, reinforcement learning, imitation learning, domain randomization, architecture search, and unsupervised learning.
ControlNet Tutorial
Comprehensive tutorial on ControlNet 1.1 for Stable Diffusion, covering installation, usage, input creation with PoseMyArt, and new features. Ideal for AI art enthusiasts looking to enhance their image generation skills.
Generate Studio Quality Realistic Photos With Kohya LoRA Stable Diffusion Training - Full Tutorial
Comprehensive guide to generating studio-quality AI photos using Kohya LoRA Stable Diffusion training, covering installation, parameter settings, dataset preparation, and advanced techniques for optimal results.
How to Make 360 VR Environments for Quest with AI - Stable Diffusion and Blender Tutorial 2023
Learn to create immersive 360° VR environments for Quest using AI tools like Stable Diffusion and Blender. Master techniques for generating, refining, and implementing custom virtual spaces.
Search and Discovery in News and Research - Dr. Anju Kambadur
Explore Bloomberg's AI-driven search and discovery system for financial news, leveraging machine learning and NLP to parse unstructured data and provide valuable insights for clients.