SysML 19: Cedric Renggli, Continuous Integration of Machine Learning Models with ease.ml/ci Published 2019-04-10 Download video MP4 360p Download video MP4 720p Recommendations 26:11 SysML 19: Jia Zhihao, Beyond Data and Model Parallelism for Deep Neural Networks 22:28 SysML 19: Assaf Eisenman, Bandana: Using Non-Volatile Memory for Storing Deep Learning Models 1:06:37 RI Seminar : Pieter Abbeel : Machine Learning and Optimization for Robotics 21:59 SysML 19: Christopher Canel, Scaling Video Analytics on Constrained Edge Nodes 03:50 The Most Beautiful Equation in Math 20:15 SysML 19: Georgios Damaskinos, AggregaThor 24:20 SysML 19: Adam Lerer, Pytorch-BigGraph: A Large Scale Graph Embedding System 58:47 Umbra: A Disk-Based System with In-Memory Performance (Thomas Neumann) 1:18:43 Lecture 3 | Learning, Empirical Risk Minimization, and Optimization 18:39 SysML 19: Daniel Smilkov, TensorFlow.js: Machine Learning for the Web and Beyond 18:28 SysML 19: Dibakar Gope, Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT Applications 18:00 SysML 19: Huizi Mao, CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video 18:05 SysML 19: Paul Whatmough, FixyNN 14:33 This one command might just change how you manage your dotfiles (gnu stow) 48:46 Joscha at Microsoft 19:29 SysML 19: Akshay Agrawal, TensorFlow Eager: A multi-stage, Python-embedded DSL for machine learning 03:34 John Kitchin: Using Machine Learning to Improve Molecular Simulations 29:52 SysML 19 Keynote: Maya Gupta, How do we make AI fair? 34:01 AI/ML: The Fundamentals of DATA (10 Days of AI Basics, Day 2) Similar videos 12:23 Ease.ML: A Lifecycle Management System for Machine Learning (CIDR 2021) 02:13 Integrating AutoML into SDSC Eco-Systems - ease.ml 16:57 NSDI '19 - Is advance knowledge of flow sizes a plausible assumption? 56:30 GCPR 2020: Day 2 - Talks 2 00:39 Lab Equipment by Lab Services, Mumbai 02:58 Undergraduate Research Spotlight: Ce Zhang 42:50 AI powered Prediction Markets / BIOTS 2018 (Day 2) - David Dao (ETHZ) 21:15 Ce Zhang, Postdoctoral Researcher, Stanford University @ MLconf ATL 1:02:56 "Building a platform for a responsible data economy" by Dr. Dawn Song 01:32 Prix SVC Zentralschweiz 2020 - Renggli AG More results