Differentiable Programming Courses and Certifications

Inside Livermore Lab

Differentiable Programming for Modeling and Control of Dynamical Systems

Explore differentiable programming for optimal control of dynamical systems, focusing on differentiable predictive control and its applications in building control and power systems optimization.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

DataLearning@ICL

Neuromancer: Differentiable Programming Library for Data-driven Modeling and Control

Explore NeuroMANCER, an open-source library for integrating machine learning with scientific computing, solving optimization problems, and creating differentiable models with physics-based constraints.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Alan Turing Institute

NeuroMANCER - Differentiable Programming Library for Data-driven Modeling and Control

Explore NeuroMANCER: an open-source library for integrating machine learning with scientific computing, focusing on parametric optimization, system identification, and optimal control.

• YouTube
• 1 hour
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Differentiable Programming for End-to-end Optimization of Experiments - Lecture 6

Explore differentiable programming for optimizing experiments in high-energy physics, focusing on end-to-end solutions and advanced machine learning techniques.

• YouTube
• 2 hours 6 minutes
• On-Demand
• Free Video

Neuro Symbolic

Inductive Logic Programming with Differentiable ILP - A Review of the 2018 Paper

Explore neurosymbolic approaches to Inductive Logic Programming, covering key concepts, architectures, and experimental results from a seminal 2018 paper.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Differentiable Programming for End-to-End Optimization of Experiments - Lecture 7

Explore differentiable programming for optimizing experiments in high-energy physics. Learn advanced techniques to enhance data analysis and improve experimental design in particle physics research.

• YouTube
• 1 hour 44 minutes
• On-Demand
• Free Video

Fields Institute

Differentiable Programming for Data-driven Modeling, Optimization, and Control

Explore data-driven modeling, optimization, and control through differentiable programming techniques in this symposium talk by Jan Drgona from Pacific Northwest National Laboratory.

• YouTube
• 23 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Differentiable Programming for End-to-end Optimization of Experiments - Lecture 5

Explore differentiable programming for optimizing experiments in high-energy physics. Learn advanced techniques to enhance data analysis and improve experimental design in particle physics research.

• YouTube
• 1 hour 32 minutes
• On-Demand
• Free Video

The Julia Programming Language

Differentiable Programming for Scientific Computing with Enzyme

Explore how Enzyme automatic differentiation framework enables powerful derivative capabilities for scientific computing workflows in Julia programming.

• YouTube
• 45 minutes
• On-Demand
• Free Video

ACM SIGPLAN

Data-oriented Design for Differentiable, Probabilistic Programming

Explore data-oriented design techniques for reimplementing LazyPPL's lazy rose tree structure, focusing on memory optimization and specialized reverse-mode autodiff for probabilistic programming.

• YouTube
• 20 minutes
• On-Demand
• Free Video

Coursera

Optimize PyTorch: Build and Accelerate Layers

Master custom neural network layer creation and accelerate PyTorch model training through performance optimization techniques like mixed precision and gradient accumulation.

• Coursera
• 2 hours 7 minutes
• On-Demand
• Paid Course

Scala Days Conferences

Differentiable Functional Programming

Explore differentiable functional programming, covering supervised learning, gradient descent, and deep learning concepts. Learn about tensor operations, algorithmic differentiation, and Scala's potential in next-gen deep learning systems.

• YouTube
• 39 minutes
• On-Demand
• Conference Talk

Institute for Pure & Applied Mathematics (IPAM)

Fast Semidefinite Programming for Differentiable Combinatorial Optimization

Explore advanced techniques in semidefinite programming for combinatorial optimization, focusing on fast and differentiable methods presented by Carnegie Mellon expert Zico Kolter.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Scala Days Conferences

Differentiable Functional Programming

Explore differentiable functional programming, covering supervised learning, gradient descent, and automatic differentiation techniques for efficient deep learning implementations in Scala.

• YouTube
• 34 minutes
• On-Demand
• Conference Talk

Neuro Symbolic

Differentiable Inductive Logic Programming - Part 6: Q&A

Explore Q&A session on differentiable inductive logic programming, discussing key concepts and applications in neuro-symbolic AI with Prof. Paulo Shakarian.

• YouTube
• 16 minutes
• On-Demand
• Free Video